CN115294945A - Object display method and device, and color lookup table generation method and device - Google Patents

Abstract

The embodiment of the present application discloses a method and an apparatus for displaying objects and generating a color lookup table. The method includes: acquiring a configuration file associated with a current terminal device, including a color lookup table LUT, where the LUT table is used to store a plurality of points The corresponding relationship between the first RGB value and the second RGB value, the color perception effect presented by the second RGB value in the second color gamut, and the first RGB value in the preset first color gamut The similarity between the standard color vision effects presented below satisfies the target condition; when the target object needs to be displayed, determine the original RGB value corresponding to the target object; determine the target color mode where the current terminal device is located, And using the target LUT table corresponding to the target color mode, the original RGB value is mapped to the target RGB value for display. Through the embodiments of the present application, the impact of the color mode adjustment in the terminal device on the image display (including video playback, etc.) in specific applications can be reduced.

Description

Method and device for object display and generation of color lookup table

technical field

The present application relates to the technical field of interface display, in particular to methods and devices for generating object display and color lookup tables.

Background technique

In some terminal devices such as mobile phones, in order to meet various individual needs of users, various color modes may be provided, for example, including "standard mode", "vibrant mode", and so on. Among them, different color modes correspond to different color gamuts, and the same display object can be displayed in different degrees of vividness. That way, if the user prefers brighter tones, they can choose Vivid, if they prefer softer tones, they can choose Standard, and so on.

However, when the user adjusts the color mode of the terminal device, he usually only wants to adjust the color tone on the UI (user interface) level such as the desktop, but in fact, the change of this color mode will affect the color of the terminal device. Aspects, including specific applications installed in the device. For example, assuming that a video-related application is installed in a certain terminal device, after adjusting the color mode of the terminal device, when a specific video is played through the application, the overall tone of the played video will also change. For example, after adjusting to "Vivid Mode", the color of the face of the person in the video may become reddish compared to the standard mode, which affects the playback effect of the video.

Therefore, how to reduce the impact of the color mode adjustment in the terminal device on image display (including video playback, etc.) in specific applications has become a technical problem that needs to be solved by those skilled in the art.

Contents of the invention

The present application provides methods and devices for displaying objects and generating a color lookup table, which can reduce the impact of color mode adjustment in terminal equipment on image display (including video playback, etc.) in specific applications.

This application provides the following solutions:

A method of generating a color lookup table comprising:

Obtain the first RGB values corresponding to multiple points in the target color lookup table LUT space;

The first RGB value is provided to the test terminal device in units of points, so that the image corresponding to the first RGB value is displayed based on the second color gamut in the test terminal device, and the color analysis device is used to analyze the The color vision value presented by the test terminal device is collected, so as to determine the test value of the vision presented by the first RGB value in the second color gamut;

Determine the color vision value presented by the first RGB value in the first color gamut, and determine the target value according to the color vision value;

In units of points, according to the deviation between the test value and the target value, multiple rounds of iterative adjustments to the RGB values are respectively started, wherein, after the RGB values are adjusted in each round of iterations, the adjusted RGB values are adjusted at Estimate the color vision value presented when the second color gamut is displayed, and determine the deviation between the estimated value of the color vision value and the target value, until the RGB value is adjusted to the second RGB value, and the obtained color vision value is estimated When the deviation between the value and the target value is smaller than the target threshold, store the corresponding relationship between the first RGB and the second RGB in the LUT table.

A method for displaying an object, comprising:

Obtain a configuration file associated with the current terminal device, the configuration file is multiple, corresponding to multiple color modes supported in the terminal device, including a color lookup table LUT, the LUT table is used to save multiple points The corresponding relationship between the first RGB value and the second RGB value, wherein, the color vision effect presented by the second RGB value in the second color gamut is the same as that of the first RGB value in the preset first The similarity between the standard color vision effects presented in the color gamut meets the target condition;

When the target object needs to be displayed, determine the original RGB value corresponding to the target object;

Determine the target color mode of the current terminal device, and use the target LUT table corresponding to the target color mode to map the original RGB value to the target RGB value and then display it, so that the target object is in the target color mode. The similarity between the color vision effect presented in the second color gamut corresponding to the color mode and the standard color vision effect presented in the first color gamut satisfies the target condition.

A device for generating a color lookup table, comprising:

The first RGB numerical value determination unit is used to obtain the first RGB numerical values respectively corresponding to a plurality of points in the target color lookup table LUT space;

a test value determination unit, configured to provide the first RGB value to the test terminal device in units of dots, so that the image corresponding to the first RGB value is displayed in the test terminal device based on the second color gamut, And collect the color vision value presented by the test terminal device through the color analysis device, so as to determine the visual test value presented by the first RGB value in the second color gamut;

A target value determining unit, configured to determine the color vision value presented by the first RGB value in the first color gamut, and determine the target value according to the color vision value;

The iterative adjustment unit is used to start multiple rounds of iterative adjustment of the RGB value according to the deviation between the test value and the target value in units of points, wherein, after adjusting the RGB value in each round of iteration, the Estimate the color vision value presented when the adjusted RGB value is displayed in the second color gamut, and determine the deviation between the estimated value of the color vision value and the target value, until the RGB value is adjusted to the second RGB value, When the deviation between the obtained estimated value of the color vision value and the target value is smaller than the target threshold, the corresponding relationship between the first RGB and the second RGB is stored in the LUT table.

An object display device comprising:

The configuration file obtaining unit is used to obtain the configuration file associated with the current terminal device, the configuration file is multiple copies, corresponding to multiple color modes supported in the terminal device, including a color lookup table LUT, the LUT The table is used to store the correspondence between the first RGB value and the second RGB value of multiple points, wherein the color vision effect presented by the second RGB value in the second color gamut is the same as that of the first RGB value. The similarity between the standard color vision effects presented by the numerical value under the preset first color gamut meets the target condition;

An original RGB value determination unit, configured to determine the original RGB value corresponding to the target object when the target object needs to be displayed;

The target RGB value mapping unit is used to determine the target color mode of the current terminal device, and use the target LUT table corresponding to the target color mode to map the original RGB value to the target RGB value and display it, so that The similarity between the color vision effect presented by the target object in the second color gamut corresponding to the target color mode and the standard color vision effect presented in the first color gamut satisfies the target condition .

A computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps of any one of the methods described above are implemented.

An electronic device comprising:

one or more processors; and

A memory associated with the one or more processors, the memory is used to store program instructions, and when the program instructions are read and executed by the one or more processors, perform the method described in any one of the foregoing A step of.

According to the specific embodiments provided by the application, the application discloses the following technical effects:

Through the embodiment of the present application, since the LUT table corresponding to multiple color modes of the terminal device can be obtained in advance, the corresponding relationship between the first RGB value and the second RGB value of multiple points is stored in this LUT table, and , the similarity between the color vision effect presented by the second RGB value in the second color gamut and the standard color vision effect presented by the first RGB value in the preset first color gamut satisfies the target condition. In this way, when the target object needs to be displayed, after the original RGB value is determined, the target color mode of the current terminal device can be determined, and the target LUT table corresponding to the target color mode can be used to convert the original RGB The numerical value is mapped to the target RGB value and then displayed, so that the color vision effect presented by the target object in the second color gamut corresponding to the target color mode can be compared with the color vision effect presented in the first color gamut. The similarity between the standard color vision effects satisfies the target condition. In this way, when the target object is displayed on the terminal device, even if the color gamut used in the terminal device is different from the color gamut based on which the target object is toned, the color vision effect that meets the grading expectation can be obtained.

Among them, when generating the LUT table, the LUT space can be established in advance, and the first RGB value of each point in the LUT space is sent to the test terminal device for display, and then the color perception value is collected by the color analysis device. The visual test value presented when displayed in the second color gamut. In addition, the visual target value presented when the first RGB value is displayed in the first color gamut can be obtained. Afterwards, multiple rounds of iterative adjustments to the RGB values can be started respectively in units of points according to the deviation between the test value and the target value. In each round of adjustment, the adjusted RGB values can be adjusted at the Estimate the color vision value presented when the second color gamut is displayed, and determine the deviation between the estimated value of the color vision value and the target value, until the RGB is adjusted to the second RGB value, and the estimated value of the color vision value is obtained When the deviation from the target value is smaller than the target threshold, the corresponding relationship between the first RGB and the second RGB can be stored in the LUT table. In this way, automatic generation of the LUT table can be realized. In addition, since the adjusted RGB value can be determined by estimation, the color vision value presented when the second color gamut is displayed, therefore, the dependence on the color analysis equipment can be reduced, and the efficiency can be improved.

In addition, the XYZ value can be used as the color vision value. In each round of iteration, the XYZ component with the largest deviation can be determined according to the deviation between the XYZ values, and then according to the degree of influence of the XYZ components on the RGB components, One of the components of RGB is adjusted, and the other RGB components may not be adjusted, so as to avoid adjusting RGB to a wrong value.

Of course, implementing any product of the present application does not necessarily need to achieve all the above-mentioned advantages at the same time.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the accompanying drawings required in the embodiments. Obviously, the accompanying drawings in the following description are only some of the present application. Embodiments, for those of ordinary skill in the art, other drawings can also be obtained based on these drawings without any creative effort.

Figure 1 is a schematic diagram of a comparison of different color gamuts;

Fig. 2 is a schematic diagram of the system architecture provided by the embodiment of the present application;

Fig. 3 is a flow chart of the first method provided by the embodiment of the present application;

Fig. 4 is a schematic diagram of the LUT space provided by the embodiment of the present application;

Fig. 5 is a schematic diagram of a reference point selection method provided by the embodiment of the present application;

Fig. 6 is a flow chart of the second method provided by the embodiment of the present application;

Fig. 7 is a schematic diagram of the first device provided by the embodiment of the present application;

Fig. 8 is a schematic diagram of a second device provided by an embodiment of the present application;

Fig. 9 is a schematic diagram of an electronic device provided by an embodiment of the present application.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments in this application belong to the protection scope of this application.

In order to facilitate understanding of the technical solutions provided by the embodiments of the present application, some concepts are firstly introduced below.

1. RGB: It is a color model (also called a color coding method), which describes colors through a set of numbers. It's an additive color model, but doesn't represent a color gamut by itself. The color of a pixel can be determined by combining it with the description of the standard color gamut. Through this process, the color in the specific display object (image, document, etc.) can be determined. Therefore, when the same RGB value is combined with different color gamut descriptions, the visual effects presented on the display (that is, the effects actually observable by the human eye, including the actual displayed colors, etc.) are different of.

2. Color gamut: It refers to the range of colors that can be expressed by a certain color standard, that is, the sum of the colors that a technical system can produce, simply speaking, it is the area that can be covered by the color. The colors of the visible spectrum in nature constitute the largest color gamut, which contains all the colors that the human eye can see, and can be represented by the CIELAB color space. However, the size of the color gamut of a specific device is related to the device, medium and viewing conditions. The larger the color gamut of a device, the more colors it can reproduce. That is, the color gamut of a specific device is usually a subset of the CIELAB color space. In other words, the CIELAB color space is all the colors that the human eye can display, but the color that the monitor can display does not have such a large space. Compared with the human eye, the color gamut that the monitor can display is smaller. For example, common color gamuts include Rec.709, DCI-P3, Adobe RGB (color gamut defined by Adobe), NTSC (National Television Standards Committee, (USA) National Television Standards Committee), and the like. As far as the field of film and television is concerned, Rec.709 and DCI-P3 are the most commonly used. Among them, Rec.709, also known as sRGB, is one of the earliest color standards and an international standard for high-definition television; DCI-P3 is a wide color gamut standard introduced by the American film industry, and it is also the color standard for current digital movie playback equipment One, the color gamut it presents is 25% larger than that presented by Rec.709, mainly with a wider range of green and red. For example, as shown in Figure 1(A) and (B), the range shown by the bell-shaped line 11 is the complete set of CIELAB color space, and the triangle area 12 in Figure 1(A) corresponds to the Rec.709 color gamut, Figure 1 The triangular area 13 in (B) corresponds to the DCI-P3 color gamut.

3. XYZ color system: It was proposed to solve the problem of defining colors more precisely. Among the three components of XYZ, X and Z represent chroma, and Y component can represent both brightness and chroma. The three components The units are cd/m ² (or called nit). As mentioned above, since the RGB displayed by different devices is different, different devices display the same RGB, which is very different to the human eye. Therefore, RGB cannot be used to accurately define colors. However, if the above-mentioned XYZ color system is used, the color space of a device can be defined more precisely.

4. xyY: Change the three-dimensional XYZ color system into the "xy color diagram" of the two-dimensional xy plane. This xy chromaticity diagram was formulated by CIE (Commission Internationale de l'Eclairage, French, International Commission on Illumination) in 1931, so it is also called the CIE color system or CIE chromaticity diagram, which is shown in the aforementioned Figure 1 CIELAB color space. In this xy chromaticity diagram, it is represented by x:y:z in the same proportion as the ratio X:Y:Z of the three stimulus values X, Y, and Z of the XYZ color system (wherein, x+y+z=1 ), with the x value obtained in this way as the horizontal axis and the y value as the vertical axis, the graph used to represent all colors is the xy chromaticity diagram. For example, if a color is expressed by XYZ as: X=19cd/m2, Y=20cd/m2, Z=21cd/m2, then the brightness of this color is 20cd/m2, and the chromaticity can be calculated by x=X/(X+Y +Z)=19/60, y=Y/(X+Y+Z)=20/30.

It can be seen that the dimension of the "color map" is actually 2, which is a plane, and all (irradiance-independent) colors can be represented by two coordinates (x, y). This is the most common chromaticity map. The chromaticity coordinates can calibrate every human-perceivable color, which is the two-dimensional "color map" corresponding to the XYZ color system, and each value in the map is between (0, 1).

But up to this point, the colors are only irradiance independent - they still appear to have different brightnesses. As a simple but effective solution, color information can be combined with luminance information into a space called xyY. As long as you intercept a plane perpendicular to the Y axis in the xyY space and draw the outline of the single-frequency light on it, you can get a "color map" that has nothing to do with brightness. This is the real chromaticity map, that is, not only x , y coordinates, and a condition is hidden: the Y values of all points are equal. Due to the combination of two types of information, color and brightness, the xyY space and the XYZ space are equivalent. In addition to the origin in XYZ space, they are a one-to-one mapping relationship.

In short, both XYZ space and xyY space can completely describe color vision, and xy chromaticity coordinates can describe colors that have nothing to do with brightness. Of course, although there is a one-to-one mapping between them, they cannot be converted to each other through linear transformation, so the color mixing methods are completely different. The color mixing method in the XYZ space is convenient for quantitative calculation (vector operation), while the color mixing method in the xy chromaticity diagram is convenient for qualitative analysis.

5. YUV: It is a color coding method adopted by the European TV system. Y represents brightness, and U and V represent color difference information (respectively representing the color difference information of Blue and Red). YUV is usually a color space for color image/video processing. It encodes color images/videos while taking into account the properties of the human eye which allow reducing the bandwidth of the chroma component without perceptual distortion. Also, image/video compression is facilitated by using the YUV color space, which was originally used for analog TV broadcasting. The color spaces YUV, YIQ, YCbCr, and YPbPr all belong to the YUV family. In terms of historical evolution, YUV and Y'UV are usually used to encode analog TV signals, while YcbCr (where Y has the same meaning as Y in YUV, and Cb and Cr also refer to color, but they are different in representation) ) is used to describe digital image signals, suitable for video and picture compression and transmission, such as MPEG (Moving Picture Experts Group, an organization that formulates international standards for moving image and voice compression) format, JPEG ( Joint Photographic Experts Group, Joint Photographic Experts Group, is a standard for continuous tone still image compression) format image etc.

6. The relationship between RGB, color gamut, xyY, XYZ, and YUV:

Both xyY and XYZ are used to describe color vision (chroma and brightness), and the two can be transformed into each other.

Regarding the RGB value, if the color gamut is known, the chromaticity xy value in the two-dimensional space can be converted, but the value on the luminance Y component cannot be obtained directly through formula conversion. That is to say, RGB values cannot be directly converted into xyY values through formula conversion, and then RGB values cannot be converted into XYZ values through formula conversion.

According to the YUV data, the RGB value can be obtained by formula conversion. In the process of displaying images such as videos or pictures through related applications, since specific images are usually color-coded by YUV, the YUV value of each pixel can be restored from the code stream of the image first. After accurately restoring the YUV value of each pixel, the RGB value of each pixel can be extracted through the conversion formula of YUV and RGB.

However, after obtaining the RGB value of a specific pixel point, it is necessary to combine the color gamut supported by the current color mode of the specific terminal device to display the specific pixel point, that is, to present the final image that is finally seen on the display screen of the terminal device by human eyes. color vision effect.

Among them, in the production or post-processing of images such as videos or pictures, in order to make specific images have a better display effect, a color gamut is usually selected as the standard color gamut (for example, it is known that most terminal devices use Rec.709 color gamut, this color gamut can be used as the standard color gamut), and then, based on the standard color gamut, the colorist can fine-tune the RGB values of specific pixels until the desired effect is achieved . For example, for a certain pixel in the face area of a person in a certain frame of image, in the Rec.709 color gamut format, when the specific RGB is a certain value, the expected color vision effect can be presented. Therefore, the pixel can be Set to this RGB value. When the image is subsequently displayed on a specific terminal device, if the color mode in the terminal device also corresponds to the Rec.709 color gamut, when the image is displayed directly in the Rec.709 color gamut according to the specific RGB value, it can usually make The presented color vision (that is, the visual effect of the human eye) is as expected. At this point, the image that has been color-graded based on a certain standard color gamut may be referred to as an image in the standard color gamut format. However, if the color mode in the terminal device corresponds to other color gamuts such as P3, when the same RGB value is displayed based on this other color gamut, the specific color perception will change. For example, the face area may Reddish, therefore, the actual color vision effect will deviate from expectations.

7. Color analyzer: It is an industrial machine that can measure the brightness and chromaticity of liquid crystal or various other display devices quickly (for example, the speed can reach 20 times/second). That is to say, assuming that a single color picture is displayed on a display device, the actual brightness and chromaticity displayed by the display device can be determined by collecting and analyzing the screen of the display device through the color analyzer. That is, the aforementioned xyY values.

8. LUT: Abbreviation for Lookup Table (color lookup table). Through LUT, one set of RGB values can be output as another set of RGB values, thereby changing the color vision effects such as exposure and color of the picture. The LUT can be regarded as a function. After the RGB value of each pixel is repositioned by the LUT, a new set of RGB values can be obtained. In the prior art, the LUT table is usually used for color calibration of display devices, or image color space conversion, or design and simulation of special color effects, or adjust the color style of movies, that is, the color adjustment mentioned above, etc. Wait.

In the embodiment of the present application, in order to reduce the impact of the color mode adjustment in the terminal device on the image display in a specific application, a corresponding solution is provided. In this solution, the corresponding relationship between the first RGB value and the second RGB value of multiple points can be stored in the form of a LUT table in advance. The first RGB value and the second RGB value here have the following characteristics: the second RGB value The similarity between the color vision effect presented by the value in the second color gamut and the standard color vision effect presented by the first RGB value in the preset first color gamut satisfies the target condition. That is to say, if a certain pixel is displayed in the first color gamut according to the above-mentioned first RGB value, the expected color vision effect can be obtained, but if the terminal device actually uses the second color gamut, it can be displayed directly in the second color gamut. When the first RGB value is used to display in the domain, the color vision effect presented by the specific pixel will deviate from the expectation. For this situation, the first RGB value can be converted to the second RGB value through the above-mentioned LUT table, and then the second RGB value is actually used to display the corresponding pixel in the second color gamut, and the actual color vision effect presented will be more in line with expectations.

In addition, the embodiment of the present application also provides an implementation method for generating the above-mentioned LUT table. In this method, a test environment can be built. For example, in a specific implementation manner, as shown in FIG. 2 , at the hardware level, the test environment may include a PC terminal device, a test terminal device such as a mobile phone for testing, and a color analysis device. At the software level, an application program for generating a specific LUT table can be provided, and the application program can be divided into a first terminal running on a PC terminal device and a second terminal running on a test terminal device. In addition, a LUT space may also be designed, and the LUT space may be a three-dimensional space, and the three dimensions correspond to R, G, and B respectively. The LUT space can include N*N*N points, where, since the values of the three components of RGB are in the range of 0 to 255, N can be any value between 2 and 255, and each point Can have a set of RGB values. In addition, the LUT space may be designed according to the standard color gamut, that is, the RGB values corresponding to multiple points in the LUT space are the first RGB values under the above-mentioned standard color gamut.

Specifically, when establishing the LUT table, first, a communication connection can be established between the first end of the application program in the PC device and the second end of the application program in the test terminal device, and then, the first end can sequentially transfer each point in the LUT space to The corresponding RGB values are provided to the second terminal. Whenever the second end receives a set of RGB values, it can generate a corresponding solid-color image in the test terminal device, and display it on the display screen of the test terminal device based on the second color gamut of the device. At this time, the color perception value may be collected from the display screen of the test terminal device through the color analysis device, for example, may specifically include chromaticity value and brightness value. That is, the numerical expression result of the color vision effect presented when the RGB value of a point in the LUT space is displayed in the second color gamut in the test terminal device can be obtained through the color analysis device.

After collecting the color vision values displayed in the second color gamut of the test terminal device for each point in the LUT space, it is equivalent to obtaining the first RGB value of each point when displayed in the second color gamut. The tested color vision effect deviates from the standard color vision effect presented by the first RGB value in the standard color gamut. Therefore, the color vision value that expresses the above-mentioned standard color vision effect can be determined, and the color vision value can be used as the target value of the color vision value, and then, according to the deviation between the test value and the target value of the above color vision value, gradient descent The first RGB value is adjusted for multiple rounds until the color perception value of a modified second RGB value in the second color gamut is equal to the color perception value of the first RGB value in the standard color gamut. When the target value is close enough, the iteration can be ended, and the corresponding relationship between the first RGB value and the second RGB value is established, and added to the LUT table corresponding to the second color gamut.

Similar processing can also be performed on other points, and the obtained corresponding relationship between other first RGB values and the second RGB values is stored in the LUT table. This LUT table can be used as the mapping relationship information between RGB when the image in the standard color gamut format is displayed in the above-mentioned second color gamut. In this way, when a specific terminal device displays an image, after determining the original RGB value of each pixel in the image, if the terminal device corresponds to the above-mentioned second color gamut, the above-mentioned LUT table can be used to convert the original RGB value of the specific pixel point to The RGB value is converted to the target RGB value, and then displayed. Therefore, when a specific pixel is displayed based on the target RGB value in the second color gamut, the same or very similar color vision effect as when a specific pixel is displayed with the original RGB value in the standard color gamut can be obtained.

Among them, in the process of realizing the above solution, the following problems that need to be solved or optimized are also involved:

Question 1: How to determine the color perception value of the first RGB value in the standard color gamut. As mentioned above, although the RGB value can be converted to obtain the chromaticity xy value in the two-dimensional space when the color gamut is known, the value on the Y component cannot be obtained directly through formula conversion, that is, It is impossible to calculate the complete color vision value corresponding to the RGB value by means of formula conversion.

In response to this problem, considering the difference in color vision when the same group of RGB values are displayed in different color gamuts, the value on the brightness, that is, the Y component, usually has a relatively small impact on the above-mentioned difference in color vision. Therefore, in order to obtain a complete standard For the color vision value, after displaying a set of RGB values in the test terminal device, the brightness Y value collected by the color analyzer can be used as the Y component value of the RGB in the standard color gamut. In this way, combined with the xy value of the aforementioned RGB value in the standard color gamut, the complete color vision value corresponding to RGB in the standard color gamut can be obtained. For example, the xyY value can be determined first, and the XYZ value can also be converted to obtain the value. As a target value for color vision values, etc.

Question 2: In each round of iteration, after adjusting the RGB value, how to obtain the color vision value presented by the adjusted RGB value in the second color gamut.

To solve this problem, one way is to notify the second end of the application program in the test terminal device to display again according to the adjusted RGB value after each adjustment of the RGB value, and collect the corresponding color vision value through the color analysis device. However, the process can be cumbersome and highly dependent on color analysis equipment.

Therefore, in the embodiment of the present application, an implementation manner of estimating through an algorithm is adopted. Specifically, the inventors of the present application found in the process of implementing the present application that if the color vision values of multiple points around a certain point in a certain color gamut are known, these surrounding points can be used as reference points, and these reference points can be used to The color vision value of the point under the color gamut, and estimate the color vision value of the point under the color gamut. However, in the embodiment of the present application, the color vision values of multiple RGB values displayed in the second color gamut can be collected by the color analysis device, for example, XYZ values, etc. Therefore, iterating on a specific target point In the process, after adjusting to a certain RGB value, you can first determine multiple reference points located around the adjusted RGB value from the multiple points included in the LUT space, and then according to the color vision values corresponding to these reference points, that is The color vision value that can be obtained when the above-mentioned adjusted RGB value is displayed in the second color gamut can be estimated, and then the estimated value of the color vision value can be compared with the aforementioned target value, and according to the deviation between the two , continue to adjust the RGB value in the next iteration, and so on.

Question 3: How to adjust the RGB value in each round of iteration. For this problem, in one way, the values on the three components of RGB can be adjusted in each iteration. However, in this way, when the color difference is large, it may be adjusted to the wrong RGB. For example, RGB (2, 3, 5) and RGB (4, 6, 10), since the mixing ratio of the three components of RGB is the same, the values of x and y on the color analyzer are consistent. For this reason, in a preferred embodiment, in the case of quantitative expression of color vision with XYZ values, since the three components of XYZ may have different influences on the three components of RGB, for example, the X component may mainly affect the R component , the Y component mainly affects the G component, and the Z component mainly affects the B component. Therefore, when performing specific adjustments, the deviations of the XYZ values among the respective components can be determined first, and the component with the largest deviation can be determined, and the corresponding components of the RGB values can be adjusted according to this component. For example, in a certain round of iteration, it is found that the deviation between the XYZ values is the largest on the X component, then in this round of iteration, the R component of the RGB value can be adjusted, and the value of the GB component remains unchanged. After the XYZ value in the second color gamut is estimated according to the adjusted RGB value, it is compared with the target value of the XYZ value again, and the next round of iteration is performed. In the next iteration, if the estimated XYZ value still has the largest deviation on the X component from the target value, the R value can continue to be adjusted, and if the Y component has the largest deviation, the G value can be adjusted ,and many more.

In a word, through the above method, the corresponding relationship between the first RGB and the second RGB can be respectively established for multiple points in the LUT space, and the LUT table established for the current color gamut in the current test terminal device can be saved. Afterwards, the current test terminal device can also be switched to other color modes, and the above process can be performed again, so as to establish LUT tables for the color gamuts corresponding to other color modes. In addition, because the definition of color mode may be different in different models, in addition, even if the same color mode, or even the same color gamut is declared, the specific performance may be different on different models. Therefore, in order To obtain a better correction effect, you can also choose other types of terminal equipment to test various color modes and generate LUT tables separately. That is, multiple LUT tables can be generated for various color modes under different models, and then, for specific models of terminal devices, the LUTs corresponding to multiple color modes in the same model can be sent to The terminal device enables the terminal device to select and use the corresponding LUT table according to the color mode of the specific terminal device during specific video playback, etc., to correct the color of the video and other images before displaying.

Of course, in the above solutions, it is assumed that the specific image to be displayed is an image generated by color-grading based on a specific color gamut. For example, since most terminal devices use the 709 color gamut, the specific video can be Based on the 709 color gamut, color adjustment and other processing are performed, and correspondingly, the video becomes a 709 color gamut format video. However, in practical applications, the images displayed on the terminal equipment may also be color-graded based on other color gamuts, corresponding to videos in other color gamut formats, and so on. Therefore, during specific implementation, LUT generation processing may also be performed separately for images in various color gamut formats. That is to say, more LUTs can be generated in the end. For example, the corresponding relationship between the specific LUT table and the color gamut format of the image and the color gamut of the terminal device can be shown in Table 1:

Table 1

The server of a specific application can provide the relevant LUT table to the terminal device according to the model. When the specific terminal device performs image display, it can first determine the color gamut format corresponding to the specific image, the current color mode of the terminal device or the corresponding color space. field before choosing to use a specific LUT table for color correction.

The specific implementation solutions provided by the embodiments of the present application are introduced in detail below.

Embodiment one

First of all, this embodiment 1 provides a method for generating a color lookup table from the perspective of the first end of the test application program for the specific solution for generating a LUT table. Referring to FIG. 3, the method may specifically include:

S301: Acquire first RGB values corresponding to multiple points in the LUT space of the target color lookup table.

As mentioned above, in order to establish the corresponding relationship between the first RGB value and the second RGB value in the final LUT table, a LUT table space may be created first. The LUT space may be a three-dimensional space, and the three dimensions correspond to R, G, and B respectively. The LUT space may include N*N*N points, wherein, since the values of the three components of RGB are in the range of 0-255, N may be any value between 2-255. For example, N may be equal to 6. At this time, there are 6*6*6=216 points in the LUT space, and each point may have values on three components of R, G, and B. R, G, and B increase sequentially and proportionally along the three components, and each increment is 255/(N-1). For example, when N=6, the incremental components of R, G, and B are 51, and the value ranges are 0, 51, 102, 153, 204, and 255 (renormalized during rendering); generate the first RGB value in the LUT table , the subscript starts from 0, as shown in Figure 4. In the example, LUT[5][0][2] corresponds to R is 255, G is 0, and B is 102; in the example, LUT[1][1][ 4] corresponds to 51 for R, 51 for G, 204 for B, and so on. Among them, in actual implementation, N can also take other values. The larger N is, the higher the accuracy will be. Of course, the required memory space will be more, and the test time will increase accordingly, which can be determined according to actual needs.

That is to say, N*N*N points are pre-determined in the LUT space, and each point corresponds to its own first RGB value, then the final generated LUT standard will have N*N*N first RGB values and the first RGB value. Correspondence between two RGB values.

S302: Provide the first RGB value to the test terminal device in units of dots, so that the image corresponding to the first RGB value is displayed based on the second color gamut in the test terminal device, and the color analysis device The color vision value presented by the test terminal device is collected, so as to determine the test value of the vision presented by the first RGB value under the second color gamut.

After determining the RGB values of multiple points in the LUT space, the first RGB values of each point can be sent to the test terminal device respectively, and the second end with the test application program pre-installed in the test terminal device receives the first RGB value every time After receiving an RGB value, image display can be performed according to the first RGB value. For example, a full-screen monochrome image can be displayed, etc. After the second end displays the image, the first end can be notified, and the first end can drive the color analysis device to collect the color perception value of the image displayed on the display screen of the test terminal device. The collected color vision values may be provided to the first end. Afterwards, the first end may send the first RGB value of the next point to the second end, and repeat the above process until specific color perception values are collected for each point in the LUT space.

Among them, before the specific test, the test terminal device can be set to a certain color mode. After the second terminal is started, the interface function provided by the system can be used to read the identification information of the color mode from the test terminal device, and provide To the first end, in this way, the first end can learn the current color mode in the specific test terminal device. After the LUT table is subsequently generated, the corresponding relationship between the color mode and the LUT table can be recorded, and when the color mode is used in a specific terminal device, the LUT table can be used for color correction. In addition, it is also possible to re-execute the test process after switching the test terminal device to another color mode, so as to generate LUT tables of other color modes. You can also choose other types of test terminal equipment to test in various color modes to get more LUT tables.

Wherein, the color vision value specifically collected by the color analysis device may generally be an xyY value. That is, chromaticity information represented by coordinate xy in the chromaticity diagram, and luminance information represented by Y. In a preferred embodiment, in order to facilitate the subsequent adjustment of the RGB value based on the color vision value, after collecting the xyY values of the above-mentioned first RGB in the second color gamut of the test terminal device through the color analysis settings, you can also Convert the xyY value to the XYZ value in the XYZ color system. These XYZ values can be used as the test values of the color perception presented by each point in the LUT space in the second color gamut of the test terminal device.

S303: Determine the color vision value represented by the first RGB value in the first color gamut, and determine a target value according to the color vision value.

In addition to determining the test value of the color vision of each point in the LUT space in the second color gamut of the test terminal device, the color vision value of these points in the first color gamut can also be determined as the target value. That is to say, in the subsequent iterative adjustment process of the RGB value, the color vision value under the first color gamut is targeted for adjustment.

Among them, as mentioned above, in the case of a known color gamut, the xy value can be converted from the RGB value, but the Y component value cannot be directly converted. For this reason, during specific implementation, the embodiment of the present application may use the brightness value collected by the color analysis device as the value of the Y component. Specifically, for a specific point, after sending its first RGB value to the test terminal device and displaying it, the color analysis device can collect the xyY value of the color vision presented by the first RGB value in the second color gamut , at this time, the value of the collected Y component can be used as the value of the Y component in the xyY value of the first RGB value of the point in the first color gamut.

That is to say, in this embodiment of the application, the first color gamut is known (for example, by default, most videos are color-graded based on the Rec.709 color gamut, then the Rec.709 color gamut can be used as the first color gamut), for the first RGB value of each point in the LUT space, the value on the xy component in the standard color space can be determined based on the first color gamut. Then, the luminance value collected during the displaying process of each point on the test terminal device is used as the Y component value to obtain the xyY value of the first RGB value in the first color gamut. In a preferred embodiment, the xyY value can also be converted into an XYZ value, and this value can be used as the target value of color vision.

So far, for each point in the LUT space, the target value of color vision and the test value of color vision presented during the display process in the second color gamut can be obtained respectively.

S304: In units of points, according to the deviation between the test value and the target value, start multiple rounds of iterative adjustments to the RGB values, wherein, after adjusting the RGB values in each round of iterations, adjust the adjusted RGB values Estimate the color vision value presented when the value is displayed in the second color gamut, and determine the deviation between the estimated value of the color vision value and the target value, until the RGB is adjusted to the second RGB value, the obtained color vision value When the deviation between the estimated value of and the target value is smaller than the target threshold, the corresponding relationship between the first RGB and the second RGB is stored in the LUT table.

After obtaining the test values and target values of the color vision values corresponding to multiple points, the RGB values can be adjusted for each target point through multiple rounds of iterations until the adjusted RGB values have sufficient color vision values in the second color gamut close to the aforementioned target value. Among them, in each round of iteration process, the RGB value can be adjusted first, and then the color vision value of the adjusted RGB value in the second color gamut can be determined, and compared with the target value, enter the next round iterate.

Wherein, the color vision value of the adjusted RGB value in the second color gamut cannot be directly calculated through formula conversion, therefore, the embodiment of the present application also provides a scheme for estimating the color vision value. Specifically, since the embodiment of the present application can obtain the test values of the color perception values of multiple points in the LUT space in the second color gamut respectively, it can first be determined from the multiple points in the LUT space that the Multiple reference points around the adjusted RGB values described above. Afterwards, according to the color vision values respectively collected by the color vision analysis device for the plurality of reference points when displayed in the second color gamut, the adjusted RGB values may be displayed when displayed in the second color gamut. The presented color vision values were estimated. That is to say, although the XYZ value in the second color gamut cannot be directly converted according to an RGB value, since the XYZ values in the second color gamut of other RGB values around the RGB value are known, , these known XYZ values can be used as a reference to estimate the XYZ value of the RGB value in the second color gamut.

For example, assuming that in a certain round of iteration, the adjusted RGB value corresponds to point C in Figure 5, at this time, in the pre-established LUT space, eight points C ₀₀₀ , C ₀₀₁ , C ₀₁₀ , C ₀₁₁ , C ₁₀₀ , C ₁₀₁ , C ₁₁₀ , and C ₁₁₁ are used as reference points of the C point. Since the XYZ values of the RGB values of the above eight reference points displayed in the second color gamut of the test terminal device have been obtained, it can be further estimated based on the XYZ values of these reference points displayed in the second color gamut The XYZ values of point C displayed in the second color gamut. For specific estimation, algorithms such as trilinear interpolation can be used for estimation. Among them, trilinear interpolation (trilinear interpolation) is mainly used in a 3D cube, through the value of a given vertex, the linear interpolation method to calculate the value of other points in the cube, and the specific formula will not be described in detail here.

When adjusting the RGB value in each round of iteration, as mentioned above, in a preferred embodiment, the deviation between the XYZ value estimated after the last round of RGB adjustment and the XYZ value corresponding to the target value can be used situation, determine the XYZ component with the largest deviation, and then determine the RGB component corresponding to the XYZ component with the largest deviation according to the influence of each XYZ component on each RGB component, and adjust the RGB component, and keep the other RGB components. constant. That is to say, in each round of iteration, only one of the RGB components can be adjusted, and the other values remain unchanged. Specifically, which RGB component is adjusted, the maximum deviation between the XYZ value and the target value can be estimated based on the previous round. quantity to determine. For example, in a certain round of iteration, it is found that the deviation between the estimated XYZ value and the target value is the largest on the X component, then in this round of iteration, the R component of the RGB value can be adjusted, and the value of the GB component remains constant. After re-estimating the XYZ values in the second color gamut according to the adjusted RGB values, re-comparison with the target value, and proceed to the next round of iteration. In the next iteration, if the estimated XYZ value still has the largest deviation on the X component from the target value, the R value can continue to be adjusted, and if the Y component has the largest deviation, the G value can be adjusted ,and many more.

Through the above method, for each point in the LUT space, the corresponding relationship between the first RGB value and the second RGB value can be obtained, and by saving these corresponding relationships, a LUT table for the current second color gamut can be generated. Afterwards, the model information, color mode information and the LUT table of the currently tested terminal device may also be submitted to the server for storage through the first terminal of the test application program. Afterwards, the current test terminal device can also be switched to other color modes, and the above process can be repeated to generate LUT tables for other color gamuts. In addition, a plurality of color modes included in other test terminal devices can also be tested separately, a LUT table can be generated, and so on. All these LUT tables can be uploaded to the server, and information such as terminal equipment models and color mode identifications corresponding to each LUT table can be provided. Afterwards, the server can send the LUT table to the terminal device client of the corresponding model (the so-called server and client here can specifically be the application server and client provided by a certain video platform, etc.). In this way, when the client specifically needs to display a certain target image, it can determine the current color mode of the terminal device and the color gamut corresponding to the color mode. After determining the original RGB value on a specific pixel in the target object, the original RGB value of the target object is mapped to the target RGB value according to the LUT table and then displayed, so that the target object is displayed on the target object. The similarity between the color vision effect presented in the second color gamut corresponding to the color mode and the standard color vision effect presented in the first color gamut satisfies the target condition.

In short, in the embodiment of this application, by establishing the LUT space, sending the first RGB value of each point in the LUT space to the test terminal device for display, and then collecting the color vision value through the color analysis device, the first RGB value is in the The visual test value presented when displayed in the second color gamut. In addition, the visual target value presented when the first RGB value is displayed in the first color gamut can be obtained. Afterwards, multiple rounds of iterative adjustments to the RGB values can be started respectively in units of points according to the deviation between the test value and the target value. In each round of adjustment, the adjusted RGB values can be adjusted at the Estimate the color vision value presented when the second color gamut is displayed, and determine the deviation between the estimated value of the color vision value and the target value, until the RGB is adjusted to the second RGB value, and the estimated value of the color vision value is obtained When the deviation from the target value is smaller than the target threshold, the corresponding relationship between the first RGB and the second RGB can be stored in the LUT table. In this way, automatic generation of the LUT table can be realized. In addition, since the adjusted RGB value can be determined by estimation, the color vision value presented when the second color gamut is displayed, therefore, the dependence on the color analysis equipment can be reduced, and the efficiency can be improved.

In addition, the XYZ value can be used as the color vision value. In each round of iteration, the XYZ component with the largest deviation can be determined according to the deviation between the XYZ values, and then according to the degree of influence of the XYZ components on the RGB components, One of the components of RGB is adjusted, and the other RGB components may not be adjusted, so as to avoid adjusting RGB to a wrong value.

Embodiment two

The second embodiment is aimed at the application process after the establishment of the LUT table, and provides an object display method from the perspective of a specific application presentation client. Referring to FIG. 6, the method may specifically include:

S601: Obtain a configuration file associated with the current terminal device, the configuration file is multiple copies, corresponding to multiple color modes supported by the terminal device, including a color lookup table LUT, the LUT table is used to save multiple The corresponding relationship between the first RGB value and the second RGB value of points, wherein, the color vision effect presented by the second RGB value in the second color gamut is the same as that of the first RGB value in the preset The similarity between the standard color vision effects presented in the first color gamut satisfies the target condition.

The server can send each LUT table associated with the same model to the client in the form of a configuration file according to the model information of the specific terminal device. Since the LUT table may be frequently used, the client can save the configuration file locally on the terminal device, so that when a specific display object needs to be displayed, the specific LUT table can be used for color correction.

S602: When the target object needs to be displayed, determine the original RGB value corresponding to the target object.

Specifically, the target object may be a video, a picture, a photo, etc. to be played. In the specific implementation, as mentioned above, since specific video files may be encoded by YUV, the YUV value corresponding to each pixel can be parsed from the code stream of the same frame of image, and then, according to the YUV The conversion formula between RGB and calculates the RGB value corresponding to each pixel. The RGB value belongs to the original RGB value parsed from the target object. If the RGB value is displayed directly, the presented visual effect may deviate from expectations.

S603: Determine the target color mode of the current terminal device, and use the target LUT table corresponding to the target color mode to map the original RGB value to the target RGB value and display it, so that the target object is displayed in the target color mode. The similarity between the color vision effect presented in the second color gamut corresponding to the target color mode and the standard color vision effect presented in the first color gamut satisfies the target condition.

In this embodiment of the application, after the client acquires the original RGB value of a specific pixel, it can determine the target color mode of the current terminal device, and use the target LUT table corresponding to the target color mode to convert the The original RGB value is mapped to the target RGB value and then displayed. In this way, the color vision effect presented by the target object in the second color gamut corresponding to the target color mode can be different from that in the first color gamut. The similarity between the presented standard color vision effects satisfies the target condition.

What needs to be explained here is that since each point in the LUT table is set according to a certain step size (for example, N=6 in the preceding example), it may not be possible for all RGB (256*256*256) values to be are found directly in the LUT table. But at this time, the client can use each point in the LUT table to map any RGB value to a new RGB value according to a certain algorithm, and make the new RGB value appear in the second color gamut. The color vision effect is sufficiently similar to the standard color vision effect presented by the RGB value before mapping under the first color gamut.

Through the second embodiment, because the LUT table corresponding to multiple color modes of the terminal device can be obtained in advance, the corresponding relationship between the first RGB value and the second RGB value of multiple points is stored in this LUT table, and , the similarity between the color vision effect presented by the second RGB value in the second color gamut and the standard color vision effect presented by the first RGB value in the preset first color gamut satisfies the target condition. In this way, when the target object needs to be displayed, after the original RGB value is determined, the target color mode of the current terminal device can be determined, and the target LUT table corresponding to the target color mode can be used to convert the original RGB The numerical value is mapped to the target RGB value and then displayed, so that the color vision effect presented by the target object in the second color gamut corresponding to the target color mode can be compared with the color vision effect presented in the first color gamut. The similarity between the standard color vision effects satisfies the target condition. In this way, when the target object is displayed on the terminal device, even if the color gamut used in the terminal device is different from the color gamut on which the target object is toned, the color perception effect that meets the grading expectation can be obtained.

For the parts not described in detail in the second embodiment, reference may be made to the descriptions in the first embodiment and other parts of the specification of this application, and details are not repeated here.

It should be noted that the embodiment of this application may involve the use of user data. In practical applications, it can be in compliance with the applicable laws and regulations of the country where it is located (for example, the user expressly agrees, the user is actually notified, etc.), use user-specific personal data in the scenarios described herein to the extent permitted by applicable laws and regulations.

Corresponding to Embodiment 1, the embodiment of the present application also provides a device for generating a color lookup table, see FIG. 7, the device may include:

The first RGB value determining unit 701 is used to obtain the first RGB value of multiple points in the target color lookup table LUT space under the preset first color gamut;

The test value determination unit 702 is configured to provide the first RGB value to the test terminal device in units of dots, so that the image corresponding to the first RGB value is displayed in the test terminal device based on the second color gamut , and collect the color vision value presented by the test terminal device through the color analysis device, so as to determine the test value of the vision presented by the first RGB value in the second color gamut;

A target value determining unit 703, configured to determine the color vision value presented by the first RGB value in the first color gamut, and determine the target value according to the color vision value;

The iterative adjustment unit 704 is configured to start multiple rounds of iterative adjustments to the RGB values in units of points according to the deviation between the test value and the target value, wherein, after adjusting the RGB values in each round of iteration, Estimate the color vision value presented when the adjusted RGB value is displayed in the second color gamut, and determine the deviation between the estimated value of the color vision value and the target value, until RGB is adjusted to the second RGB value and saving the correspondence between the first RGB and the second RGB in the LUT table when the deviation between the obtained estimated color vision value and the target value is smaller than the target threshold.

Specifically, the target value determination unit can be specifically used for:

According to the chromaticity value of the first RGB value in the first color gamut, and the brightness value collected from the test terminal device during the display process of the test terminal device according to the first RGB value, determine the The color perception value of the first RGB value in the first color gamut, and determine the target value of the color perception value according to the color perception value.

Wherein, the color perception value collected by the color analysis device includes an xyY value, wherein the xy component represents chroma, and the Y component represents brightness;

At this point, the test value determination unit can specifically be used for:

Converting the collected xyY value to the XYZ color system to obtain the XYZ value, and determining the XYZ value as the test value of the color vision value; wherein, the X and Z components represent chromaticity, and the Y component represents brightness and color Spend;

The target value determination unit can specifically be used for:

According to the xy chromaticity value of the first RGB value in the first color gamut, and the brightness information collected by the color analysis device from the display screen of the test terminal device, it is obtained that the target point is in the first color gamut. The xyY value of color vision in a color gamut, and converting the xyY value into the XYZ color system to obtain the XYZ value, and determining the XYZ value as the target value of the color vision value.

Wherein, when the iterative adjustment unit performs RGB value adjustment, it can be specifically used for:

When adjusting the RGB value in each round of iteration, according to the deviation between the estimated XYZ value after the last round of RGB adjustment and the XYZ value corresponding to the target value, determine the XYZ component with the largest deviation;

According to the influence of each XYZ component on each RGB component, determine the RGB component corresponding to the XYZ component with the largest deviation, and adjust the RGB component, and keep the other RGB components unchanged.

In addition, when the iterative adjustment unit specifically estimates the color vision value, it can be specifically used for:

determining a plurality of reference points located around the adjusted RGB values from a plurality of points in the LUT space;

According to the color vision values displayed in the second color gamut respectively collected by the color vision analysis device for the plurality of reference points, the color vision displayed in the second color gamut for the adjusted RGB values Values are estimated.

Additionally, the device may include:

An uploading unit, configured to submit the model information, color mode information, and the LUT table of the test terminal device to the server for storage, so as to send the LUT table to the terminal device client of the corresponding model, so that When the client displays the target object in the color mode, the original RGB value of the target object is mapped to the target RGB value according to the LUT table before displaying, so that the target object is displayed in the target color The similarity between the color vision effect presented in the second color gamut corresponding to the mode and the standard color vision effect presented in the first color gamut satisfies the target condition.

Corresponding to Embodiment 2, this embodiment of the present application also provides an object display device, see Figure 8, the device may include:

The configuration file obtaining unit 801 is configured to obtain a configuration file associated with the current terminal device, the configuration file is multiple copies, corresponding to multiple color modes supported in the terminal device, including a color lookup table LUT, the The LUT table is used to save the correspondence between the first RGB value and the second RGB value of multiple points, wherein the color perception effect presented by the second RGB value in the second color gamut is the same as that of the first RGB value. The similarity between the standard color vision effects presented by RGB values in the preset first color gamut meets the target condition;

The original RGB value determination unit 802 is used to determine the original RGB value corresponding to the target object when the target object needs to be displayed;

The target RGB value mapping unit 803 is configured to determine the target color mode in which the current terminal device is located, and use the target LUT table corresponding to the target color mode to map the original RGB value into a target RGB value and then display it, so as to Make the similarity between the color vision effect presented by the target object under the second color gamut corresponding to the target color mode and the standard color vision effect presented under the first color gamut meet the target condition.

In addition, the embodiments of the present application also provide a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps of the method described in any one of the foregoing method embodiments are implemented.

and an electronic device comprising:

one or more processors; and

A memory associated with the one or more processors, the memory is used to store program instructions, and when the program instructions are read and executed by the one or more processors, perform any one of the foregoing method embodiments The steps of the method.

Wherein, FIG. 9 exemplarily shows the architecture of one of the electronic devices. For example, the device 900 can be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, Personal digital assistants, aircraft and more.

9, device 900 may include one or more of the following components: a processing component 902, a memory 904, a power supply component 906, a multimedia component 908, an audio component 910, an input/output (I/O) interface 912, a sensor component 914, and communication component 916 .

The processing component 902 generally controls the overall operations of the device 900, such as those associated with display, telephone calls, data communications, camera operations, and recording operations. The processing element 902 may include one or more processors 920 to execute instructions to complete all or part of the steps of the method provided by the technical solution of the present disclosure. Additionally, processing component 902 may include one or more modules that facilitate interaction between processing component 902 and other components. For example, the processing component 902 may include a multimedia module to facilitate interaction between the multimedia component 908 and the processing component 902 .

The memory 904 is configured to store various types of data to support operations at the device 900 . Examples of such data include instructions for any application or method operating on device 900, contact data, phonebook data, messages, pictures, videos, and the like. The memory 904 can be implemented by any type of volatile or non-volatile memory device or their combination, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable Programmable Read Only Memory (EPROM), Programmable Read Only Memory (PROM), Read Only Memory (ROM), Magnetic Memory, Flash Memory, Magnetic or Optical Disk.

The power supply component 906 provides power to various components of the device 900 . Power components 906 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for device 900 .

The multimedia component 908 includes a screen that provides an output interface between the device 900 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may not only sense a boundary of a touch or a swipe action, but also detect duration and pressure associated with the touch or swipe operation. In some embodiments, the multimedia component 908 includes a front camera and/or a rear camera. When the device 900 is in an operation mode, such as a shooting mode or a video mode, the front camera and/or the rear camera can receive external multimedia data. Each front camera and rear camera can be a fixed optical lens system or have focal length and optical zoom capability.

The audio component 910 is configured to output and/or input audio signals. For example, the audio component 910 includes a microphone (MIC) configured to receive external audio signals when the device 900 is in operation modes, such as call mode, recording mode and voice recognition mode. Received audio signals may be further stored in memory 904 or sent via communication component 916 . In some embodiments, the audio component 910 also includes a speaker for outputting audio signals.

The I/O interface 912 provides an interface between the processing component 902 and a peripheral interface module. The peripheral interface module may be a keyboard, a click wheel, a button, and the like. These buttons may include, but are not limited to: a home button, volume buttons, start button, and lock button.

Sensor assembly 914 includes one or more sensors for providing status assessments of various aspects of device 900 . For example, the sensor component 914 can detect the open/closed state of the device 900, the relative positioning of components, such as the display and keypad of the device 900, and the sensor component 914 can also detect a change in the position of the device 900 or a component of the device 900 , the presence or absence of user contact with the device 900 , the orientation or acceleration/deceleration of the device 900 and the temperature change of the device 900 . Sensor assembly 914 may include a proximity sensor configured to detect the presence of nearby objects in the absence of any physical contact. Sensor assembly 914 may also include an optical sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor component 914 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor or a temperature sensor.

Communication component 916 is configured to facilitate wired or wireless communications between device 900 and other devices. The device 900 can access wireless networks based on communication standards, such as WiFi, or mobile communication networks such as 2G, 3G, 4G/LTE, and 5G. In an exemplary embodiment, the communication component 916 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 916 also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, Infrared Data Association (IrDA) technology, Ultra Wide Band (UWB) technology, Bluetooth (BT) technology and other technologies.

In an exemplary embodiment, device 900 may be programmed by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable A gate array (FPGA), controller, microcontroller, microprocessor or other electronic component implementation for performing the methods described above.

In an exemplary embodiment, there is also provided a non-transitory computer-readable storage medium including instructions, such as a memory 904 including instructions, the above instructions can be executed by the processor 920 of the device 900 to complete the method provided by the technical solution of the present disclosure . For example, the non-transitory computer readable storage medium may be ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, and the like.

Each embodiment in this specification is described in a progressive manner, the same and similar parts of each embodiment can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system or the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and for related parts, please refer to the part of the description of the method embodiment. The systems and system embodiments described above are only illustrative, and the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is It can be located in one place, or it can be distributed to multiple network elements. Part or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. It can be understood and implemented by those skilled in the art without creative effort.

The method and device for displaying objects and generating a color lookup table provided by this application have been introduced in detail above. In this paper, specific examples have been used to illustrate the principle and implementation of this application. The description of the above embodiments is only for help. Understand the method and its core idea of the present application; at the same time, for those of ordinary skill in the art, according to the idea of the present application, there will be changes in the specific implementation and application scope. To sum up, the contents of this specification should not be understood as limiting the application.

Claims (11)

1. A method of generating a color lookup table, comprising:

acquiring first RGB values respectively corresponding to a plurality of points in a target color look-up table (LUT) space;

respectively providing the first RGB values to test terminal equipment by taking points as units so as to display an image corresponding to the first RGB values in the test terminal equipment based on a second color gamut, and collecting color vision values displayed by the test terminal equipment through color analysis equipment so as to determine visual test values of the first RGB values in the second color gamut;

determining color vision numerical values presented by the first RGB numerical values in a first color gamut, and determining target values according to the color vision numerical values;

and respectively starting multiple rounds of iterative adjustment of the RGB values according to the deviation between the test value and the target value by taking the point as a unit, wherein after the RGB values are adjusted in each round of iteration, the color vision values displayed by the adjusted RGB values in the second color gamut display are estimated, the deviation condition between the estimated value of the color vision values and the target value is determined, and the corresponding relation between the first RGB and the second RGB is stored in the LUT table until the deviation between the estimated value of the color vision values and the target value obtained after the RGB values are adjusted to the second RGB values is smaller than a target threshold value.

2. The method of claim 1,

said determining color vision values that said first RGB values exhibit in a first color gamut comprises:

determining the color vision numerical value of the first RGB numerical value in the first color gamut according to the chromatic value of the first RGB numerical value in the first color gamut and the brightness value collected from the test terminal equipment in the process of displaying the first RGB numerical value by the test terminal equipment according to the first RGB numerical value, and determining the target value of the color vision numerical value according to the color vision numerical value.

3. The method of claim 1,

the color vision numerical values collected by the color analysis equipment comprise xyz numerical values, wherein an xy component represents chroma, and a Y component represents brightness;

the determining the test value of the vision presented by the first RGB value in the second color gamut comprises:

converting the collected XYZ numerical value into an XYZ color system to obtain an XYZ numerical value, and determining the XYZ numerical value as a test value of the color vision numerical value; wherein, the X and Z components represent chroma, and the Y component represents brightness and chroma;

the determining the target value according to the color vision numerical value comprises:

and obtaining a color vision xyY value of the target point in the first color gamut according to the xy chromatic value of the first RGB value in the first color gamut and the brightness information collected by the color analysis device from the display screen of the test terminal device, converting the xyY value into an XYZ color system to obtain an XYZ value, and determining the XYZ value as the target value of the color vision value.

4. The method of claim 3,

when the RGB values are adjusted in each iteration, the XYZ component with the maximum deviation amount is determined according to the deviation condition between the estimated XYZ values after the previous round of RGB adjustment and the XYZ values corresponding to the target values;

and according to the influence of each XYZ component on each RGB component, determining the RGB component corresponding to the XYZ component with the maximum deviation amount, adjusting the RGB component, and keeping other RGB components unchanged.

5. The method of claim 1,

the estimating of the color vision numerical values presented by the adjusted RGB numerical values when displayed in the second color gamut includes:

determining, from a plurality of points in the LUT space, a plurality of reference points located around the adjusted RGB values;

and estimating the color vision numerical values presented by the adjusted RGB numerical values during the second color gamut display according to the color vision numerical values presented by the color vision analysis equipment during the second color gamut display and respectively acquired by the color vision analysis equipment aiming at the plurality of reference points.

6. The method of any of claims 1 to 5, further comprising:

and submitting the model information, the color mode information and the LUT table of the test terminal equipment to a server for storage so as to issue the LUT table to a terminal equipment client of a corresponding model, so that when the client displays a target object in the color mode, the original RGB numerical value of the target object is mapped into a target RGB numerical value according to the LUT table and then displayed, so that the similarity between the color vision effect of the target object in a second color gamut corresponding to the target color mode and the standard color vision effect displayed in the first color gamut meets the target condition.

7. An object display method, comprising:

acquiring a configuration file associated with current terminal equipment, wherein the configuration file is divided into a plurality of parts and respectively corresponds to a plurality of color modes supported in the terminal equipment, the configuration file comprises a color lookup table (LUT) which is used for storing a corresponding relation between a first RGB numerical value and a second RGB numerical value of a plurality of points, wherein the similarity between a color vision effect presented by the second RGB numerical value in a second color gamut and a standard color vision effect presented by the first RGB numerical value in a preset first color gamut meets a target condition;

when a target object needs to be displayed, determining an original RGB value corresponding to the target object;

and determining a target color mode of the current terminal equipment, and displaying the original RGB numerical value after mapping the original RGB numerical value into a target RGB numerical value by using a target LUT (look up table) corresponding to the target color mode, so that the similarity between the color vision effect of the target object in a second color gamut corresponding to the target color mode and the standard color vision effect in the first color gamut meets the target condition.

8. An apparatus for generating a color look-up table, comprising:

the first RGB numerical value determining unit is used for acquiring first RGB numerical values respectively corresponding to a plurality of points in the space of the target color lookup table LUT;

the test value determining unit is used for respectively providing the first RGB values to test terminal equipment by taking points as units so as to display an image corresponding to the first RGB values in the test terminal equipment based on a second color gamut, and collecting color vision values displayed by the test terminal equipment through color analysis equipment so as to determine visual test values displayed by the first RGB values in the second color gamut;

a target value determination unit configured to determine a color vision numerical value represented by the first RGB numerical value in the first color gamut, and determine a target value according to the color vision numerical value;

and the iteration adjusting unit is used for respectively starting multiple rounds of iteration adjustment on the RGB values according to the deviation amount between the test value and the target value by taking a point as a unit, estimating the color vision value displayed by the adjusted RGB value in the second color gamut display after the RGB value is adjusted in each round of iteration, and determining the deviation condition between the estimated value of the color vision value and the target value until the deviation amount between the estimated value of the color vision value and the target value obtained after the RGB value is adjusted to the second RGB value is smaller than a target threshold value, and storing the corresponding relation between the first RGB and the second RGB in the LUT table.

9. An object display apparatus, comprising:

a configuration file obtaining unit, configured to obtain a configuration file associated with a current terminal device, where the configuration file is multiple copies and corresponds to multiple color modes supported in the terminal device, where the configuration file includes a color lookup table LUT, and the LUT is configured to store a correspondence between a first RGB value and a second RGB value of a plurality of points, where a similarity between a color vision effect exhibited by the second RGB value in a second color gamut and a standard color vision effect exhibited by the first RGB value in a preset first color gamut satisfies a target condition;

the device comprises an original RGB numerical value determining unit, a target object display unit and a display unit, wherein the original RGB numerical value determining unit is used for determining an original RGB numerical value corresponding to a target object when the target object needs to be displayed;

and the target RGB numerical value mapping unit is used for determining a target color mode in which the current terminal equipment is positioned, mapping the original RGB numerical value into a target RGB numerical value by using a target LUT (look up table) corresponding to the target color mode, and then displaying the target RGB numerical value so as to enable the similarity between the color vision effect presented by the target object in a second color gamut corresponding to the target color mode and the standard color vision effect presented in the first color gamut to meet the target condition.

10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.

11. An electronic device, comprising:

one or more processors; and

a memory associated with the one or more processors for storing program instructions that, when read and executed by the one or more processors, perform the steps of the method of any of claims 1 to 7.

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