CN110800309A - Image processing method, image processing apparatus, electronic apparatus, and storage medium - Google Patents

Abstract

An image processing method, an image processing device (10), an electronic device (100) and a computer-readable storage medium (400). The image processing method includes: acquiring an input image, where the input image includes a plurality of input pixel values (01); acquiring adjustment parameters (02); acquiring a correspondence between the input pixel values and the output pixel values according to the adjustment parameters (03); The input pixel value gets the output pixel value to get the output image (04).

Description

Image processing method, image processing device, electronic device and storage medium

technical field

The present invention relates to image processing technology, and in particular, to an image processing method, an image processing device, an electronic device and a computer-readable storage medium.

Background technique

When adjusting the image, the brightness, contrast, etc. of the image may be adjusted through image pixels. Among them, when adjusting the image brightness, the RGB of the image pixels is generally converted into a color space such as HSL (HSV), and the brightness part is adjusted by increasing or decreasing, and then converted into RGB space. The adjustment process is more complicated, resulting in brightness. The adjustment speed is slow.

SUMMARY OF THE INVENTION

Embodiments of the present invention provide an image processing method, an image processing apparatus, an electronic apparatus, and a computer-readable storage medium.

The image processing method of the present invention includes: acquiring an input image, the input image including a plurality of input pixel values; acquiring adjustment parameters; acquiring the correspondence between the input pixel values and the output pixel values according to the adjustment parameters; and the input pixel value to obtain the output pixel value to obtain an output image.

An image processing apparatus according to an embodiment of the present invention includes a first acquisition module, a second acquisition module, a third acquisition module, and a fourth acquisition module. The first acquisition module is used for acquiring an input image, and the input image includes a plurality of input pixel values. The second obtaining module is used for obtaining adjustment parameters. The third obtaining module is configured to obtain the corresponding relationship between the input pixel value and the output pixel value according to the adjustment parameter. The fourth obtaining module is configured to obtain the output pixel value according to the corresponding relationship and the input pixel value to obtain an output image.

An electronic device according to an embodiment of the present invention includes a processor, and the processor is configured to: acquire an input image including a plurality of input pixel values, acquire adjustment parameters, and acquire the input pixel values and output pixels according to the adjustment parameters and obtaining the output pixel value according to the corresponding relationship and the input pixel value to obtain an output image.

A computer-readable storage medium according to an embodiment of the present invention has a computer program stored thereon, and the computer program can be executed by a processor to complete the above-mentioned image processing method.

Embodiments of the present invention provide an image processing method, an image processing device, an electronic device, and a computer-readable storage medium. In the image processing method, the corresponding relationship between the input pixel value and the output pixel value is obtained according to the adjustment parameter, so that the input pixel value of the input image can be processed according to the corresponding relationship to obtain the output image, that is, the output image can be quickly obtained according to the adjustment parameter and the input image. to get the output image.

Additional aspects and advantages of embodiments of the present invention will be set forth, in part, from the following description, and in part will be apparent from the following description, or learned by practice of embodiments of the invention.

Description of drawings

The above and/or additional aspects and advantages of the present invention will become apparent and readily understood from the following description of embodiments taken in conjunction with the accompanying drawings, wherein:

1 to 3 are schematic flowcharts of image processing methods according to some embodiments of the present invention;

FIG. 4 and FIG. 5 are schematic diagrams of the corresponding relationship of some embodiments of the present invention;

6 to 10 are schematic flowcharts of image processing methods according to some embodiments of the present invention;

11 and 12 are schematic diagrams of image processing apparatuses according to some embodiments of the present invention;

13 is a schematic diagram of an electronic device according to some embodiments of the present invention;

14 is a schematic diagram of the connection between an electronic device and a computer-readable storage medium according to some embodiments of the present invention;

15 is a schematic diagram of a movable platform of some embodiments of the present invention.

Description of main components and symbols:

Movable platform 1000, electronic device 100, image processing device 10, first acquisition module 11, second acquisition module 12, third acquisition module 13, fourth acquisition module 14, update module 15, generation module 16, processor 20, Power plant 200 , computer readable storage medium 400 .

Detailed ways

Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary, only used to explain the present invention, and should not be construed as a limitation of the present invention.

In the description of the present invention, it should be understood that the terms "first" and "second" are only used for description purposes, and cannot be interpreted as indicating or implying relative importance or the number of indicated technical features. Thus, features defined as "first", "second" may expressly or implicitly include one or more of said features. In the description of the present invention, "plurality" means two or more, unless otherwise expressly and specifically defined.

In the description of the present invention, it should be noted that the terms "installed", "connected" and "connected" should be understood in a broad sense, unless otherwise expressly specified and limited, for example, it may be a fixed connection or a detachable connection Connection, or integral connection; it can be a mechanical connection, an electrical connection or can communicate with each other; it can be directly connected or indirectly connected through an intermediate medium, it can be the internal communication of two elements or the interaction of two elements relation. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

The following disclosure provides many different embodiments or examples for implementing different structures of the present invention. In order to simplify the disclosure of the present invention, the components and arrangements of specific examples are described below. Of course, they are only examples and are not intended to limit the invention. Furthermore, the present disclosure may repeat reference numerals and/or reference letters in different instances for the purpose of simplicity and clarity and not in itself indicative of a relationship between the various embodiments and/or arrangements discussed. In addition, the present disclosure provides examples of various specific processes and materials, but one of ordinary skill in the art will recognize the application of other processes and/or the use of other materials.

Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary, only used to explain the present invention, and should not be construed as a limitation of the present invention.

Referring to FIG. 1, the image processing method according to the embodiment of the present invention includes:

01: Obtain an input image, where the input image includes multiple input pixel values;

02: Get the adjustment parameters;

03: Obtain the correspondence between the input pixel value and the output pixel value according to the adjustment parameter; and

04: Obtain the output pixel value according to the corresponding relationship and the input pixel value to obtain the output image.

The image processing method of the embodiment of the present invention obtains the corresponding relationship between the input pixel value and the output pixel value according to the adjustment parameter, so that the input pixel value of the input image can be processed according to the corresponding relationship to obtain the output image, that is, the output image can be obtained according to the adjustment parameter and the input pixel value. The image quickly gets the output image.

In some embodiments, acquiring the input image may specifically be controlling an image collector (eg, a camera) to collect the input image, wherein the input image may be a preview image or an image output by the image collector and saved to a storage element. In this way, after the image collector collects the input image, the input image can be quickly processed according to the adjustment parameters to obtain the output image. It can be understood that, in other embodiments, the input image can also be obtained in other ways. For example, acquiring the input image may be reading the input image stored in the storage element. For another example, acquiring the input image may be downloading the input image from the server, etc., which is not specifically limited here.

In some embodiments, the number of input images may be one or more frames, and the input images may be visible light images, infrared images, X-ray images, and the like. The format of the input image includes but is not limited to YUV, RGB, RAW, etc.

In some embodiments, acquiring the adjustment parameters may specifically be determining the adjustment parameters according to user input, for example, the user may input the adjustment parameters by means of text input, voice input, triggering a virtual key, or the like. It can be understood that, in other embodiments, the adjustment parameters can also be obtained in other ways. For example, the adjustment parameter may be a preset parameter, the preset parameter is stored in the storage element in advance, and the preset parameter in the storage element can be directly read when the adjustment parameter is obtained. For another example, the input image may be preprocessed to obtain input image information, which may include but not limited to brightness, color, etc., and then the adjustment parameters are determined according to the input image information, which is not specifically limited here.

In some embodiments, the input image is an image in RGB space, and the input pixel values include red channel pixel values, green channel pixel values, and blue channel pixel values, wherein, when processing the input image using the adjustment parameters, the red channel pixel values , the green channel pixel value and the blue channel pixel value share the same correspondence. In this way, the synchronous adjustment of the input image can be ensured, without unreasonably changing the color of the output image compared to the input image due to only adjusting the pixel values of a specific channel.

In other embodiments, the image processing method of the embodiment of the present invention may also only process the pixel value of one channel, which is not specifically limited herein.

Referring to FIG. 2, in some embodiments, the image processing method is used to process video, the video includes multiple frames of input images, and the image processing method further includes:

05: When the adjustment parameters change, update the corresponding relationship according to the changed adjustment parameters;

Step 04 includes:

041: Acquire the output pixel value according to the updated correspondence and the input pixel value to obtain the output image.

Specifically, the image processing method of the embodiment of the present invention can be used to process video, wherein the video includes multiple frames of input images. In the process of continuous video playback, the embodiment of the present invention can process the video by adjusting the parameters. During the processing, if the adjustment parameters do not change (for example, the user does not re-enter the adjustment parameters), the original adjustment parameters are processed. For video, if the adjustment parameters change (for example, the user re-inputs the adjustment parameters), the corresponding relationship can be updated in real time according to the changed adjustment parameters, so as to obtain the output pixel value according to the updated corresponding relationship and the input pixel value to obtain the output image. It should be noted that when the resolution of the video is high, such as 1080P high-definition video, the processing speed of the video in the prior art is relatively slow, which cannot satisfy the real-time processing of the video during the video playback process. The processing method can directly process the input image in the RGB space through the corresponding relationship. Therefore, the processing speed is relatively fast, so that it can meet the real-time processing requirements of high-definition video.

Please refer to FIG. 3 to FIG. 5, in some embodiments, the corresponding relationship is an exponential curve function or an S-curve function, and step 03 includes:

031: Obtain an exponential curve function or an S-curve function corresponding to the curvature according to the adjustment parameter.

Specifically, if a certain pixel value is directly added or subtracted from the input pixel value to obtain the output pixel value, a large amount of information of the input image will be lost, and the output image will become flat and without a sense of hierarchy. The image processing method according to the embodiment of the present invention may use an exponential curve function or an S-curve function to process an input image. Specifically, an exponential curve function or an S-curve function corresponding to the curvature may be obtained according to the adjustment function, and then the exponential curve function and the input image may be obtained according to the adjustment function. The pixel value obtains the output pixel value, or obtains the output pixel value according to the S-curve function and the input pixel value. Through the exponential curve function or the S-curve function, the output pixel value can be more accurate, and the output image has a stronger sense of hierarchy.

Referring to FIG. 6, in some embodiments, the adjustment parameters include brightness adjustment parameters, and the corresponding relationship includes the brightness corresponding relationship. Step 03 includes:

032: Obtain the brightness correspondence according to the brightness adjustment parameter;

Step 04 includes:

042: Acquire the output pixel value according to the luminance correspondence and the input pixel value to obtain the output image.

Specifically, in some embodiments, in order to adjust the brightness of the input image, the user can input brightness adjustment parameters. The image processing method of the embodiment of the present invention will obtain the brightness correspondence according to the brightness adjustment parameters, and then according to the brightness correspondence and the input pixel value to obtain the output pixel value to obtain the output image, the output image at this time is the image after brightness adjustment, so the user can quickly adjust the brightness of the input image by inputting the brightness adjustment parameters.

In some embodiments, when the brightness adjustment parameter is greater than zero, the brightness of the output image is greater than the brightness of the input image, and when the brightness adjustment parameter is less than zero, the brightness of the output image is less than the brightness of the input image, that is, by inputting a greater than zero brightness parameter to brighten the input image, and to dim the input image by entering a parameter less than zero. In addition, the larger the brightness adjustment parameter, the higher the brightness of the output image of the same input image; the smaller the brightness adjustment parameter, the smaller the brightness of the output image of the same input image. In this way, the setting of the brightness adjustment parameter is more in line with the user's adjustment logic, and the user can more conveniently use the image processing method of the embodiment of the present invention to control the brightness of the output image.

Of course, the above-mentioned relationship between the brightness adjustment parameter, the input image and the output image is just an example. In other embodiments, it can also be: when the brightness adjustment parameter is less than zero, the brightness of the output image is greater than the brightness of the input image, and when the brightness adjustment parameter is greater than zero, the brightness of the output image is less than the brightness of the input image; or: in When the brightness adjustment parameter is greater than the preset value, the brightness of the output image is greater than the brightness of the input image, and when the brightness adjustment parameter is less than the preset value, the brightness of the output image is less than the brightness of the input image, etc., where the preset value may not be zero any value of . In addition, the larger the brightness adjustment parameter, the lower the brightness of the output image of the same input image; the smaller the brightness adjustment parameter, the higher the brightness of the output image of the same input image, which is not specifically limited here.

Referring to FIG. 7, in some embodiments, the adjustment parameters include contrast adjustment parameters, and the corresponding relationship includes the contrast corresponding relationship. Step 03 includes:

033: Obtain the contrast correspondence according to the contrast adjustment parameter;

Step 04 includes:

043: Obtain the output pixel value according to the contrast correspondence and the input pixel value to obtain the output image.

Specifically, the traditional contrast adjustment algorithm adopts the method of histogram equalization, adjusts the gray value by using the accumulation function, stretches the image non-linearly, and redistributes the pixel value of the image, so that the number of pixels in a certain gray range is roughly Similarly, in order to realize the enhancement of contrast, the traditional contrast adjustment process is complicated, so that the adjustment speed is slow. In the embodiment of the present invention, in order to adjust the contrast of the input image, the user can input a contrast adjustment parameter. The pixel value obtains the output pixel value to obtain the output image, and the output image at this time is the image after contrast adjustment. In this way, the user can quickly adjust the contrast of the input image by inputting the contrast adjustment parameter.

Referring to FIG. 5 again, in some embodiments, the contrast correspondence is a piecewise exponential curve function, for example, the piecewise exponential curve function includes two-segment exponential curve functions, and the two-segment exponential curve functions form an S-curve function. Using the S-curve function and the input pixel value to obtain the output pixel value can adjust the contrast of the output image.

In some embodiments, when the contrast adjustment parameter is greater than zero, the contrast of the output image is greater than that of the input image, and when the contrast adjustment parameter is less than zero, the contrast of the output image is less than the contrast of the input image, that is, by inputting a greater than zero contrast parameter to increase the contrast of the input image, and to decrease the contrast of the input image by entering a parameter less than zero. In addition, the larger the contrast adjustment parameter, the larger the contrast of the output image of the same input image; the smaller the contrast adjustment parameter, the smaller the contrast of the output image of the same input image. In this way, the setting of the contrast adjustment parameter is more in line with the user's adjustment logic, and the user can more conveniently use the image processing method of the embodiment of the present invention to control the contrast of the output image.

Of course, the above-mentioned relationship between the contrast adjustment parameter, the input image and the output image is just an example. In other implementations, it can also be: when the contrast adjustment parameter is less than zero, the contrast of the output image is greater than the contrast of the input image, and when the contrast adjustment parameter is greater than zero, the contrast of the output image is less than the contrast of the input image; or: in When the contrast adjustment parameter is greater than the preset value, the contrast of the output image is greater than the contrast of the input image, and when the contrast adjustment parameter is less than the preset value, the contrast of the output image is smaller than the contrast of the input image, etc. The preset value may not be zero any value of . In addition, the larger the contrast adjustment parameter, the smaller the contrast of the output image of the same input image; the smaller the contrast adjustment parameter, the larger the contrast of the output image of the same input image, which is not specifically limited here.

Referring to FIG. 8, in some embodiments, the adjustment parameters include brightness adjustment parameters and contrast adjustment parameters, and step 03 includes:

032: Obtain the brightness correspondence according to the brightness adjustment parameter;

033: Obtain the contrast correspondence according to the contrast parameter;

Step 04 includes:

044: Obtain the intermediate pixel value according to the brightness correspondence and the input pixel value;

045: Obtain the output pixel value according to the contrast correspondence and the intermediate pixel value to obtain the output image.

Specifically, in some embodiments, in order to adjust the brightness and contrast of the input image at the same time, the user can input a brightness adjustment parameter and a contrast adjustment parameter, and the image processing method of the embodiment of the present invention will obtain the brightness corresponding to the brightness adjustment parameter. The corresponding relationship of contrast is obtained according to the contrast adjustment parameter, and then the intermediate pixel value is obtained according to the corresponding relationship of brightness and the input pixel value, and then the output pixel value is obtained according to the corresponding relationship of contrast and the intermediate pixel value to obtain the output image, that is, the input image The brightness adjustment is performed first, and then the contrast adjustment is performed to obtain the output image. In this way, the user can quickly adjust the brightness and contrast of the input image by inputting the brightness adjustment parameter and the contrast adjustment parameter.

Referring to FIG. 9, in some embodiments, the adjustment parameters include brightness adjustment parameters and contrast adjustment parameters, and step 03 includes:

032: Obtain the brightness correspondence according to the brightness adjustment parameter;

033: Obtain the contrast correspondence according to the contrast parameter;

Step 04 includes:

046: Obtain the intermediate pixel value according to the contrast correspondence and the input pixel value;

047: Acquire the output pixel value according to the luminance correspondence and the intermediate pixel value to obtain the output image.

Specifically, in some embodiments, in order to adjust the brightness and contrast of the input image at the same time, the user can input a brightness adjustment parameter and a contrast adjustment parameter, and the image processing method of the embodiment of the present invention will obtain the brightness corresponding to the brightness adjustment parameter. The corresponding relationship of contrast is obtained according to the contrast adjustment parameter, and then the intermediate pixel value is obtained according to the corresponding relationship of contrast and the input pixel value, and then the output pixel value is obtained according to the corresponding relationship of brightness and the intermediate pixel value to obtain the output image, that is, the input image The contrast adjustment is performed first, and then the brightness adjustment is performed to obtain the output image. In this way, the user can quickly adjust the brightness and contrast of the input image by inputting the brightness adjustment parameter and the contrast adjustment parameter.

其中，y为输出像素值，x为输入像素值，b为亮度调节参数，f(b)为亮度调节参数的转换函数，0.5≤f(b)≤2，z为比特数。具体地，比特数z≥8，z的取值越大，图像的色彩范围也越大，同时图像所需的存储空间也会增大，z的取值越小，图像的色彩范围也越小，同时图像所需的存储空间也会减小。在本发明实施方式中，z例如为8，则亮度对应关系为 In some embodiments, the luminance correspondence is

Among them, y is the output pixel value, x is the input pixel value, b is the brightness adjustment parameter, f(b) is the conversion function of the brightness adjustment parameter, 0.5≤f(b)≤2, and z is the number of bits. Specifically, the number of bits z≥8, the larger the value of z, the larger the color range of the image, and the storage space required for the image will also increase, the smaller the value of z, the smaller the color range of the image. , while the storage space required for the image is reduced. In the embodiment of the present invention, z is, for example, 8, and the corresponding relationship of brightness is

f(b) can be set according to user needs. In one embodiment, f(b)=0.5 ^-b , the value range of b is -1 to 1, when b is greater than or equal to -1 and less than 0, the brightness of the output image is less than the brightness of the input image; When it is 0, the brightness of the output image is equal to the brightness of the input image; when b is greater than 0 and less than or equal to 1, the brightness of the output image is greater than that of the input image. In another embodiment, f(b)=0.5 ^b , the value range of b is -1 to 1, when b is greater than or equal to -1 and less than 0, the brightness of the output image is greater than the brightness of the input image; When it is 0, the brightness of the output image is equal to the brightness of the input image; when b is greater than 0 and less than or equal to 1, the brightness of the output image is less than that of the input image. In another embodiment, f(b)=0.5- ^b/100 , and the value of b ranges from -100 to 100. Of course, the above embodiments are only examples, and f(b) can be set in other ways according to requirements. In this way, the user can input brightness adjustment parameters in different ranges according to different f(b), and can switch the control logic of the brightness adjustment parameter to the output image. For example, the control logic of the brightness adjustment parameter to the output image includes: the larger the brightness adjustment parameter , the brightness of the output image of the same input image is greater; the greater the brightness adjustment parameter, the lower the brightness of the output image of the same input image, etc.

输入像素值例如为红色通道像素值r，则输出像素值为输入像素值为绿色通道像素值g，则输出像素值为

输入像素值为蓝色通道像素值b，则输出像素值为

In one embodiment, z=8, f(b)=0.5 ^−b , b=1, then the luminance correspondence is

For example, the input pixel value is the red channel pixel value r, then the output pixel value is The input pixel value is the green channel pixel value g, then the output pixel value is

The input pixel value is the blue channel pixel value b, then the output pixel value is

其中，y为输出像素值，x为输入像素值，c为对比度调节参数，f(c)为对比度调节参数的转换函数，

z为比特数。具体地，比特数z≥8，z的取值越大，图像的色彩范围也越大，同时图像所需的存储空间也会增大，z的取值越小，图像的色彩范围也越小，同时图像所需的存储空间也会减小。在本发明实施方式中，z例如为8，则对比度对应关系为

In some embodiments, the contrast correspondence is

Among them, y is the output pixel value, x is the input pixel value, c is the contrast adjustment parameter, f(c) is the conversion function of the contrast adjustment parameter,

z is the number of bits. Specifically, the number of bits z≥8, the larger the value of z, the larger the color range of the image, and the storage space required for the image will also increase, the smaller the value of z, the smaller the color range of the image. , while the storage space required for the image is reduced. In the embodiment of the present invention, z is, for example, 8, and the corresponding relation of contrast is

f(c) can be set according to user needs. In one embodiment, f(c)=1.5 ^c , the value range of b is -1 to 1, when c is greater than or equal to -1 and less than 0, the contrast of the output image is smaller than that of the input image; where c is When c is 0, the contrast of the output image is equal to the contrast of the input image; when c is greater than 0 and less than or equal to 1, the contrast of the output image is greater than that of the input image. In another embodiment, f(c)=1.5 ^-c , the value range of c is -1 to 1, when c is greater than or equal to -1 and less than 0, the contrast of the output image is greater than that of the input image; When c is 0, the contrast of the output image is equal to the contrast of the input image; when c is greater than 0 and less than or equal to 1, the contrast of the output image is smaller than that of the input image. In another embodiment, f(c)=1.5 ^c/100 , and the value of c ranges from -100 to 100. Of course, the above embodiments are only examples, and f(c) can be set to other settings according to requirements. In this way, the user can input contrast adjustment parameters in different ranges according to different f(c), and can switch the control logic of the contrast adjustment parameter to the output image. For example, the control logic of the contrast adjustment parameter to the output image includes: the larger the contrast adjustment parameter , the output image contrast of the same input image is greater; the greater the contrast adjustment parameter, the smaller the output image contrast of the same input image, etc.

Referring to FIG. 10, in some embodiments, the image processing method further includes:

06: Generate a lookup table of input pixel values and output pixel values according to the corresponding relationship;

Step 04 includes:

048: Obtain the output pixel value according to the lookup table and the input pixel value to obtain the output image.

根据该亮度对应关系生成查找表，查找表例如为：x＝1时，

x＝2时，

…；x＝255时，y＝255，其中，在y不为整数时，可以通过四舍五入、向上取整、向下取整的方式进行取整操作，具体地，本发明实施方式以四舍五入对y进行取整，则x＝1时，y＝2；x＝2时，y＝4；…；x＝255时，y＝255。如此可以通过查找表查找与输入像素值对应的输出像素值，从而减少不必要的数据处理过程，使得输出像素值的获取更加快速。Specifically, taking z=8, f(b)=0.5 ^−b , b=1 as an example, the luminance correspondence is

A look-up table is generated according to the luminance correspondence. For example, the look-up table is: when x=1,

When x=2,

...; when x=255, y=255, where, when y is not an integer, the rounding operation can be performed by rounding, rounding up, and rounding down. Rounding up, when x=1, y=2; when x=2, y=4; ...; when x=255, y=255. In this way, the output pixel value corresponding to the input pixel value can be looked up through the look-up table, thereby reducing unnecessary data processing processes and making the acquisition of the output pixel value faster.

In some embodiments, the look-up table is a one-dimensional look-up table, and the one-dimensional look-up table may have a default x, in this case, for example, the default x changes from 1 to 2 ^z −1. The one-dimensional lookup table can make the storage space required for the lookup table smaller.

Referring to FIG. 11 , the image processing apparatus 10 according to the embodiment of the present invention includes a first acquisition module 11 , a second acquisition module 12 , a third acquisition module 13 and a fourth acquisition module 14 . The image processing method of the embodiment of the present invention may be implemented by the image processing apparatus 10 of the embodiment of the present invention, wherein step 01 may be implemented by the first acquisition module 11, step 02 may be implemented by the second acquisition module 12, and step 03 may be implemented by the third acquisition module 12. The acquisition module 13 is implemented, and step 04 can be implemented by the fourth acquisition module 14 . That is to say, the first obtaining module 11 can be used to obtain an input image, and the input image includes a plurality of input pixel values. The second acquisition module 12 can be used to acquire adjustment parameters. The third obtaining module 13 may be configured to obtain the corresponding relationship between the input pixel value and the output pixel value according to the adjustment parameter. The fourth obtaining module 14 may be configured to obtain the output pixel value according to the corresponding relationship and the input pixel value to obtain the output image.

It should be noted that the above description of the image processing method is also applicable to the image processing apparatus 10 according to the embodiment of the present invention, and the implementation principle thereof is similar, which will not be repeated here.

The image processing apparatus 10 according to the embodiment of the present invention obtains the corresponding relationship between the input pixel value and the output pixel value according to the adjustment parameter, so that the input pixel value of the input image can be processed according to the corresponding relationship to obtain the output image, that is, the output image can be obtained according to the adjustment parameter and the output pixel value. The input image quickly gets the output image.

Referring to FIG. 12 , in some embodiments, the image processing apparatus 10 is used for processing video, and the video includes multiple frames of input images, and the image processing apparatus 10 further includes an update module 15 . Step 05 may be implemented by the update module 15 , and step 041 may be implemented by the fourth acquisition module 14 . That is to say, the updating module 15 can be configured to update the corresponding relationship according to the changed adjustment parameter when the adjustment parameter changes. The fourth obtaining module 14 may be configured to obtain the output pixel value according to the updated correspondence and the input pixel value to obtain the output image.

Referring to FIG. 11 again, in some embodiments, the corresponding relationship is an exponential curve function or an S-curve function. Step 031 may be implemented by the third obtaining module 13 . That is to say, the third obtaining module 13 can be used to obtain an exponential curve function or an S-curve function corresponding to the curvature according to the adjustment parameter.

In some embodiments, the adjustment parameters include brightness adjustment parameters, and the corresponding relationship includes a brightness corresponding relationship. Step 032 may be implemented by the third acquisition module 13 , and step 042 may be implemented by the fourth acquisition module 14 . That is to say, the third obtaining module 13 may be configured to obtain the brightness correspondence according to the brightness adjustment parameter. The fourth obtaining module 14 may be configured to obtain the output pixel value according to the luminance correspondence and the input pixel value to obtain the output image.

In some embodiments, when the brightness adjustment parameter is greater than zero, the brightness of the output image is greater than the brightness of the input image, and when the brightness adjustment parameter is less than zero, the brightness of the output image is less than the brightness of the input image.

In some embodiments, the adjustment parameter includes a contrast adjustment parameter, and the correspondence includes a contrast correspondence. Step 033 may be implemented by the third acquisition module 13 , and step 043 may be implemented by the fourth acquisition module 14 . That is to say, the third obtaining module 13 may be configured to obtain the contrast correspondence according to the contrast adjustment parameter. The fourth obtaining module 14 may be configured to obtain the output pixel value according to the contrast correspondence and the input pixel value to obtain the output image.

In some embodiments, when the contrast adjustment parameter is greater than zero, the contrast of the output image is greater than that of the input image, and when the contrast adjustment parameter is less than zero, the contrast of the output image is less than that of the input image.

In some embodiments, the adjustment parameters include brightness adjustment parameters and contrast adjustment parameters. Steps 032 and 033 may be implemented by the third acquisition module 13 , and steps 044 and 045 may be implemented by the fourth acquisition module 14 . That is to say, the third obtaining module 13 can be configured to obtain the brightness correspondence according to the brightness adjustment parameter, and obtain the contrast correspondence according to the contrast parameter. The fourth obtaining module 14 may be configured to obtain intermediate pixel values according to the luminance correspondence and the input pixel values, and obtain output pixel values according to the contrast correspondence and the intermediate pixel values to obtain an output image.

In some embodiments, the adjustment parameters include brightness adjustment parameters and contrast adjustment parameters. Steps 032 and 033 may be implemented by the third acquisition module 13 , and steps 046 and 047 may be implemented by the fourth acquisition module 14 . That is to say, the third obtaining module 13 can be configured to obtain the brightness correspondence according to the brightness adjustment parameter, and obtain the contrast correspondence according to the contrast parameter. The fourth obtaining module 14 may be configured to obtain intermediate pixel values according to the contrast correspondence and the input pixel values, and obtain output pixel values according to the brightness correspondence and the intermediate pixel values to obtain an output image.

其中，y为输出像素值，x为输入像素值，b为亮度调节参数，f(b)为亮度调节参数的转换函数，0.5≤f(b)≤2，z为比特数。In some embodiments, the luminance correspondence is

Among them, y is the output pixel value, x is the input pixel value, b is the brightness adjustment parameter, f(b) is the conversion function of the brightness adjustment parameter, 0.5≤f(b)≤2, and z is the number of bits.

其中，y为输出像素值，x为输入像素值，c为对比度调节参数，f(c)为对比度调节参数的转换函数，

z为比特数。In some embodiments, the contrast correspondence is

Among them, y is the output pixel value, x is the input pixel value, c is the contrast adjustment parameter, f(c) is the conversion function of the contrast adjustment parameter,

z is the number of bits.

Referring to FIG. 12 again, in some embodiments, the image processing apparatus 10 further includes a generating module 16 . Step 06 may be implemented by the generation module 16 , and step 048 may be implemented by the fourth acquisition module 14 . That is, the generation module 16 may be configured to generate a lookup table of input pixel values and output pixel values according to the correspondence. The fourth obtaining module 14 may be configured to obtain the output pixel value according to the lookup table and the input pixel value to obtain the output image.

It should be noted that the above description of the image processing method is also applicable to the image processing apparatus 10 according to the embodiment of the present invention, and the implementation principle thereof is similar, which will not be repeated here.

The division of each module in the above image processing apparatus 10 is only for illustration. In other embodiments, the image processing apparatus 10 may be divided into different modules as required to complete all or part of the functions of the above image processing apparatus 10 .

Referring to FIG. 13 , the electronic device 100 according to the embodiment of the present invention includes a processor 20 . The image processing method of the embodiment of the present invention may be implemented by the electronic device 100 of the embodiment of the present invention, wherein step 01 , step 02 , step 03 and step 04 may be implemented by the processor 20 . That is to say, the processor 20 can be used to obtain an input image, the input image includes a plurality of input pixel values, obtain adjustment parameters, obtain the corresponding relationship between the input pixel value and the output pixel value according to the adjustment parameter, and obtain the corresponding relationship between the input pixel value and the input pixel value according to the corresponding relationship and the input pixel value. Get the output pixel value to get the output image.

It should be noted that the above description of the image processing method is also applicable to the electronic device 100 according to the embodiment of the present invention, and the implementation principle thereof is similar, and details are not repeated here.

The electronic device 100 according to the embodiment of the present invention obtains the corresponding relationship between the input pixel value and the output pixel value according to the adjustment parameter, so that the input pixel value of the input image can be processed according to the corresponding relationship to obtain the output image, that is, the output image can be obtained according to the adjustment parameter and the input pixel value. The image quickly gets the output image.

The electronic device 100 may be a camera, a mobile phone, a tablet computer, a laptop computer, a game console, a head-mounted display device, an access control system, an ATM, etc., which is not limited herein.

In some embodiments, the electronic device 100 is used to process video, which includes multiple frames of input images. Steps 05 and 041 may be implemented by the processor 20 . That is to say, the processor 20 can be configured to update the corresponding relationship according to the changed adjustment parameter when the adjustment parameter changes, and obtain the output pixel value according to the updated corresponding relationship and the input pixel value to obtain the output image.

In certain embodiments, the correspondence is an exponential curve function or an S-curve function. Step 031 may be implemented by the processor 20 . That is to say, the processor 20 can be used to obtain an exponential curve function or an S-curve function corresponding to the curvature according to the adjustment parameter.

In some embodiments, the adjustment parameters include brightness adjustment parameters, and the corresponding relationship includes a brightness corresponding relationship. Steps 032 and 042 may be implemented by the processor 20 . That is to say, the processor 20 can be configured to obtain the brightness correspondence according to the brightness adjustment parameter, and obtain the output pixel value according to the brightness correspondence and the input pixel value to obtain the output image.

In some embodiments, when the brightness adjustment parameter is greater than zero, the brightness of the output image is greater than the brightness of the input image, and when the brightness adjustment parameter is less than zero, the brightness of the output image is less than the brightness of the input image.

In some embodiments, the adjustment parameter includes a contrast adjustment parameter, and the correspondence includes a contrast correspondence. Steps 033 and 043 may be implemented by the processor 20 . That is to say, the processor 20 may be configured to obtain the contrast correspondence relationship according to the contrast adjustment parameter, and obtain the output pixel value according to the contrast correspondence relationship and the input pixel value to obtain the output image.

In some embodiments, when the contrast adjustment parameter is greater than zero, the contrast of the output image is greater than that of the input image, and when the contrast adjustment parameter is less than zero, the contrast of the output image is less than that of the input image.

In some embodiments, the adjustment parameters include brightness adjustment parameters and contrast adjustment parameters. Step 032 , step 033 , step 044 and step 045 may be implemented by the processor 20 . That is to say, the processor 20 can be configured to obtain the brightness correspondence according to the brightness adjustment parameter, obtain the contrast correspondence according to the contrast parameter, obtain the intermediate pixel value according to the brightness correspondence and the input pixel value, and obtain the contrast correspondence and the intermediate pixel value. Output pixel values to get the output image.

In some embodiments, the adjustment parameters include brightness adjustment parameters and contrast adjustment parameters. Step 032 , step 033 , step 046 and step 047 may be implemented by the processor 20 . That is to say, the processor 20 can be configured to obtain the brightness correspondence according to the brightness adjustment parameter, obtain the contrast correspondence according to the contrast parameter, obtain the intermediate pixel value according to the contrast correspondence and the input pixel value, and obtain the brightness correspondence and the intermediate pixel value. Output pixel values to get the output image.

其中，y为输出像素值，x为输入像素值，b为亮度调节参数，f(b)为亮度调节参数的转换函数，0.5≤f(b)≤2，z为比特数。In some embodiments, the luminance correspondence is

Among them, y is the output pixel value, x is the input pixel value, b is the brightness adjustment parameter, f(b) is the conversion function of the brightness adjustment parameter, 0.5≤f(b)≤2, and z is the number of bits.

其中，y为输出像素值，x为输入像素值，c为对比度调节参数，f(c)为对比度调节参数的转换函数，

z为比特数。In some embodiments, the contrast correspondence is

Among them, y is the output pixel value, x is the input pixel value, c is the contrast adjustment parameter, f(c) is the conversion function of the contrast adjustment parameter,

z is the number of bits.

In some embodiments, steps 06 and 048 may be implemented by the processor 20 . That is, the processor 20 may be configured to generate a lookup table of input pixel values and output pixel values according to the corresponding relationship, and obtain output pixel values according to the lookup table and the input pixel values to obtain an output image.

It should be noted that the above description of the image processing method is also applicable to the electronic device 100 according to the embodiment of the present invention, and the implementation principle thereof is similar, and details are not repeated here.

Referring to FIG. 14 , a computer-readable storage medium 400 according to an embodiment of the present invention includes a computer program, and the computer program can be executed by the processor 20 to complete the image processing method of any one of the foregoing embodiments.

For example, a computer program can be executed by the processor 20 to perform the image processing method described in the following steps:

01: Obtain an input image, where the input image includes multiple input pixel values;

02: Get the adjustment parameters;

03: Obtain the correspondence between the input pixel value and the output pixel value according to the adjustment parameter; and

04: Obtain the output pixel value according to the corresponding relationship and the input pixel value to obtain the output image.

For another example, the computer program can also be executed by the processor 20 to complete the image processing method described in the following steps:

05: When the adjustment parameters change, update the corresponding relationship according to the changed adjustment parameters;

041: Acquire the output pixel value according to the updated correspondence and the input pixel value to obtain the output image.

Referring to FIG. 15 , the movable platform 1000 according to the embodiment of the present invention includes the electronic device 100 and the power device 200 according to any one of the foregoing embodiments. The movable platform 1000 includes, for example, a gimbal, an aircraft, a car, a robot, a surface mobile device, and the like. The power plant 200 includes, for example, a rotating shaft, a propeller, a wheel, and the like.

In the description of this specification, reference to the terms "one embodiment," "some embodiments," "exemplary embodiment," "example," "specific example," or "some examples", etc. A particular feature, structure, material, or characteristic described by an embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

Any description of a process or method in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code comprising one or more executable instructions for performing a specified logical function or step of the process , and the scope of the preferred embodiments of the present invention includes additional implementations in which the functions may be performed out of the order shown or discussed, including performing the functions substantially concurrently or in the reverse order depending on the functions involved, which should It is understood by those skilled in the art to which the embodiments of the present invention belong.

Logic and/or steps represented in flowcharts or otherwise described herein, for example, may be considered an ordered listing of executable instructions for performing logical functions, may be embodied in any computer-readable medium, For use with, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other system that can fetch instructions from and execute instructions from an instruction execution system, apparatus, or apparatus) or equipment. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport the program for use by or in connection with an instruction execution system, apparatus, or apparatus. More specific examples (non-exhaustive list) of computer readable media include the following: electrical connections with one or more wiring (electronic devices), portable computer disk cartridges (magnetic devices), random access memory (RAM), Read Only Memory (ROM), Erasable Editable Read Only Memory (EPROM or Flash Memory), Fiber Optic Devices, and Portable Compact Disc Read Only Memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program may be printed, as the paper or other medium may be optically scanned, for example, followed by editing, interpretation, or other suitable medium as necessary process to obtain the program electronically and then store it in computer memory.

It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, various steps or methods may be performed in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it may be implemented by any one or a combination of the following techniques known in the art: Discrete logic circuits, application specific integrated circuits with suitable combinational logic gates, Programmable Gate Arrays (PGA), Field Programmable Gate Arrays (FPGA), etc.

Those skilled in the art can understand that all or part of the steps carried by the above implementation method can be completed by instructing the relevant hardware through a program, and the program can be stored in a computer-readable storage medium, and the program can be executed when the program is executed. , including one or a combination of the steps of the method embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing module, or each unit may exist physically alone, or two or more units may be integrated into one module. The above-mentioned integrated modules can be implemented in the form of hardware, and can also be implemented in the form of software function modules. The integrated modules can also be stored in a computer-readable storage medium if executed in the form of software functional modules and sold or used as independent products.

The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, and the like. Although the embodiments of the present invention have been shown and described above, it should be understood that the above-mentioned embodiments are exemplary and should not be construed as limiting the present invention. Embodiments are subject to variations, modifications, substitutions and variations.

Claims (38)

1. An image processing method, characterized in that the image processing method comprises:

obtaining an input image, the input image comprising a plurality of input pixel values;

acquiring an adjusting parameter;

acquiring the corresponding relation between the input pixel value and the output pixel value according to the adjusting parameter; and

and acquiring the output pixel value according to the corresponding relation and the input pixel value to obtain an output image.

2. The image processing method according to claim 1, wherein the image processing method is used for processing a video, the video comprising a plurality of frames of the input image, and the image processing method further comprises:

when the adjusting parameters are changed, updating the corresponding relation according to the changed adjusting parameters;

the obtaining the output pixel value according to the corresponding relationship and the input pixel value to obtain an output image includes:

and acquiring the output pixel value according to the updated corresponding relation and the input pixel value to obtain the output image.

3. The image processing method according to claim 1, wherein the correspondence relationship is an exponential curve function or an S-curve function, and the obtaining the correspondence relationship between the input pixel value and the output pixel value according to the adjustment parameter includes:

and acquiring the exponential curve function or the S curve function of the corresponding curvature according to the adjusting parameter.

4. The method according to claim 1, wherein the adjustment parameter includes a luminance adjustment parameter, the correspondence relationship includes a luminance correspondence relationship, and the obtaining the correspondence relationship between the input pixel value and the output pixel value according to the adjustment parameter includes:

acquiring the brightness corresponding relation according to the brightness adjusting parameter;

the obtaining the output pixel value according to the corresponding relationship and the input pixel value to obtain an output image includes:

and acquiring the output pixel value according to the brightness corresponding relation and the input pixel value to obtain the output image.

5. The image processing method according to claim 4, wherein the luminance of the output image is greater than the luminance of the input image when the luminance adjustment parameter is greater than zero, and the luminance of the output image is less than the luminance of the input image when the luminance adjustment parameter is less than zero.

6. The image processing method according to claim 1, wherein the adjustment parameter includes a contrast adjustment parameter, the correspondence includes a contrast correspondence, and the obtaining the correspondence between the input pixel value and the output pixel value according to the adjustment parameter includes:

acquiring the contrast corresponding relation according to the contrast adjusting parameter;

the obtaining the output pixel value according to the corresponding relationship and the input pixel value to obtain an output image includes:

and acquiring the output pixel value according to the contrast corresponding relation and the input pixel value to obtain the output image.

7. The image processing method according to claim 6, wherein the contrast of the output image is greater than the contrast of the input image when the contrast adjustment parameter is greater than zero, and the contrast of the output image is less than the contrast of the input image when the contrast adjustment parameter is less than zero.

8. The image processing method according to claim 1, wherein the adjustment parameters include a brightness adjustment parameter and the contrast adjustment parameter, and the obtaining the correspondence between the input pixel value and the output pixel value according to the adjustment parameters includes:

acquiring a brightness corresponding relation according to the brightness adjusting parameter;

obtaining a contrast corresponding relation according to the contrast parameter;

the obtaining the output pixel value according to the corresponding relationship and the input pixel value to obtain an output image includes:

acquiring an intermediate pixel value according to the brightness corresponding relation and the input pixel value;

and acquiring the output pixel value according to the contrast corresponding relation and the intermediate pixel value to obtain the output image.

9. The image processing method according to claim 1, wherein the adjustment parameters include a brightness adjustment parameter and the contrast adjustment parameter, and the obtaining the correspondence between the input pixel value and the output pixel value according to the adjustment parameters includes:

acquiring a brightness corresponding relation according to the brightness adjusting parameter;

obtaining a contrast corresponding relation according to the contrast parameter;

the obtaining the output pixel value according to the corresponding relationship and the input pixel value to obtain an output image includes:

acquiring an intermediate pixel value according to the contrast corresponding relation and the input pixel value;

and acquiring the output pixel value according to the brightness corresponding relation and the intermediate pixel value to obtain the output image.

10. The image processing method according to claim 4, 8 or 9, wherein the brightness correspondence is

0≤x≤(2^z-1), wherein y is the output pixel value, x is the input pixel value, b is the luma adjustment parameter, f (b) is a transfer function of the luma adjustment parameter, 0.5 ≦ f (b) ≦ 2, and z is a number of bits.

11. The image processing method according to claim 6, 8 or 9, wherein the contrast correspondence is

0≤x<2^z-1；

2^z-1≤x≤(2^z-1); wherein y is the output pixel value, x is the input pixel value, c is the contrast adjustment parameter, f (c) is a transfer function of the contrast adjustment parameter,

z is the number of bits.

12. The image processing method according to claim 1, characterized in that the image processing method further comprises:

generating a lookup table of the input pixel value and the output pixel value according to the corresponding relation;

the obtaining the output pixel value according to the corresponding relationship and the input pixel value to obtain an output image includes:

and acquiring the output pixel value according to the lookup table and the input pixel value to obtain the output image.

13. An image processing apparatus characterized by comprising:

a first obtaining module to obtain an input image, the input image comprising a plurality of input pixel values;

the second acquisition module is used for acquiring the adjusting parameters;

a third obtaining module, configured to obtain a corresponding relationship between the input pixel value and the output pixel value according to the adjustment parameter; and

and the fourth acquisition module is used for acquiring the output pixel value according to the corresponding relation and the input pixel value so as to obtain an output image.

14. The image processing apparatus according to claim 13, wherein the image processing apparatus is configured to process a video, the video including a plurality of frames of the input image, the image processing apparatus further comprising:

the updating module is used for updating the corresponding relation according to the changed adjusting parameters when the adjusting parameters are changed;

the fourth obtaining module is configured to obtain the output pixel value according to the updated corresponding relationship and the input pixel value to obtain the output image.

15. The image processing apparatus according to claim 13, wherein the corresponding relationship is an exponential curve function or an S-curve function, and the third obtaining module is configured to obtain the exponential curve function or the S-curve function of the corresponding curvature according to the adjustment parameter.

16. The image processing apparatus according to claim 13, wherein the adjustment parameter includes a brightness adjustment parameter, the correspondence relationship includes a brightness correspondence relationship, and the third obtaining module is configured to obtain the brightness correspondence relationship according to the brightness adjustment parameter; the fourth obtaining module is configured to obtain the output pixel value according to the luminance correspondence and the input pixel value to obtain the output image.

17. The apparatus according to claim 16, wherein the luminance of the output image is greater than the luminance of the input image when the luminance adjustment parameter is greater than zero, and the luminance of the output image is less than the luminance of the input image when the luminance adjustment parameter is less than zero.

18. The image processing apparatus according to claim 13, wherein the adjustment parameter includes a contrast adjustment parameter, the correspondence includes a contrast correspondence, and the third obtaining module is configured to obtain the contrast correspondence according to the contrast adjustment parameter; the fourth obtaining module is configured to obtain the output pixel value according to the contrast corresponding relationship and the input pixel value to obtain the output image.

19. The apparatus according to claim 18, wherein the contrast of the output image is larger than the contrast of the input image when the contrast adjustment parameter is larger than zero, and the contrast of the output image is smaller than the contrast of the input image when the contrast adjustment parameter is smaller than zero.

20. The image processing apparatus according to claim 13, wherein the adjustment parameters include a brightness adjustment parameter and the contrast adjustment parameter, and the third obtaining module is configured to obtain a brightness correspondence according to the brightness adjustment parameter and a contrast correspondence according to the contrast parameter; the fourth obtaining module is configured to obtain an intermediate pixel value according to the brightness correspondence and the input pixel value, and obtain the output pixel value according to the contrast correspondence and the intermediate pixel value to obtain the output image.

21. The image processing apparatus according to claim 13, wherein the adjustment parameters include a brightness adjustment parameter and the contrast adjustment parameter, and the third obtaining module is configured to obtain a brightness correspondence according to the brightness adjustment parameter and a contrast correspondence according to the contrast parameter; the fourth obtaining module is configured to obtain an intermediate pixel value according to the contrast correspondence and the input pixel value, and obtain the output pixel value according to the brightness correspondence and the intermediate pixel value to obtain the output image.

22. The image processing apparatus according to claim 16, 20 or 21, wherein the luminance pairShould be in relation to

0≤x≤(2^z-1), wherein y is the output pixel value, x is the input pixel value, b is the luma adjustment parameter, f (b) is a transfer function of the luma adjustment parameter, 0.5 ≦ f (b) ≦ 2, and z is a number of bits.

23. The image processing apparatus according to claim 18, 20 or 21, wherein the contrast correspondence is

0≤x<2^z-1；

2^z-1≤x≤(2^z-1); wherein y is the output pixel value, x is the input pixel value, c is the contrast adjustment parameter, f (c) is a transfer function of the contrast adjustment parameter,

z is the number of bits.

24. The image processing apparatus according to claim 13, characterized by further comprising:

a generating module for generating a lookup table of the input pixel values and the output pixel values according to the correspondence;

the fourth obtaining module is configured to obtain the output pixel value according to the lookup table and the input pixel value to obtain the output image.

25. An electronic device, comprising a processor configured to:

obtaining an input image, the input image comprising a plurality of input pixel values;

acquiring an adjusting parameter;

acquiring the corresponding relation between the input pixel value and the output pixel value according to the adjusting parameter; and

and acquiring the output pixel value according to the corresponding relation and the input pixel value to obtain an output image.

26. The electronic device of claim 25, wherein the electronic device is configured to process a video, the video comprising a plurality of frames of the input image, and wherein the processor is configured to:

when the adjusting parameters are changed, updating the corresponding relation according to the changed adjusting parameters;

and acquiring the output pixel value according to the updated corresponding relation and the input pixel value to obtain the output image.

27. The electronic device of claim 25, wherein the corresponding relationship is an exponential curve function or an S-curve function, and the processor is configured to obtain the exponential curve function or the S-curve function of the corresponding curvature according to the adjustment parameter.

28. The electronic device of claim 25, wherein the adjustment parameter comprises a brightness adjustment parameter, wherein the correspondence comprises a brightness correspondence, and wherein the processor is configured to:

acquiring the brightness corresponding relation according to the brightness adjusting parameter;

and acquiring the output pixel value according to the brightness corresponding relation and the input pixel value to obtain the output image.

29. The electronic device of claim 25, wherein the brightness of the output image is greater than the brightness of the input image when the brightness adjustment parameter is greater than zero, and wherein the brightness of the output image is less than the brightness of the input image when the brightness adjustment parameter is less than zero.

30. The electronic device of claim 25, wherein the adjustment parameter comprises a contrast adjustment parameter, wherein the correspondence comprises a contrast correspondence, and wherein the processor is configured to:

acquiring the contrast corresponding relation according to the contrast adjusting parameter;

and acquiring the output pixel value according to the contrast corresponding relation and the input pixel value to obtain the output image.

31. The electronic device of claim 30, wherein the contrast of the output image is greater than the contrast of the input image when the contrast adjustment parameter is greater than zero, and wherein the contrast of the output image is less than the contrast of the input image when the contrast adjustment parameter is less than zero.

32. The electronic device of claim 25, wherein the adjustment parameters comprise a brightness adjustment parameter and the contrast adjustment parameter, and wherein the processor is configured to:

acquiring a brightness corresponding relation according to the brightness adjusting parameter;

obtaining a contrast corresponding relation according to the contrast parameter;

acquiring an intermediate pixel value according to the brightness corresponding relation and the input pixel value;

and acquiring the output pixel value according to the contrast corresponding relation and the intermediate pixel value to obtain the output image.

33. The electronic device of claim 25, wherein the adjustment parameters comprise a brightness adjustment parameter and the contrast adjustment parameter, and wherein the processor is configured to:

acquiring a brightness corresponding relation according to the brightness adjusting parameter;

obtaining a contrast corresponding relation according to the contrast parameter;

acquiring an intermediate pixel value according to the contrast corresponding relation and the input pixel value;

and acquiring the output pixel value according to the brightness corresponding relation and the intermediate pixel value to obtain the output image.

34. The electronic device of claim 28, 32 or 33, wherein the brightness correspondence is0≤x≤(2^z-1), wherein y is the output pixel value, x is the input pixel value, b is the luma adjustment parameter, f (b) is a transfer function of the luma adjustment parameter, 0.5 ≦ f (b) ≦ 2, and z is a number of bits.

35. The electronic device of claim 30, 32 or 33, wherein the contrast mapping is

0≤x<2^z-1；

2^z-1≤x≤(2^z-1); wherein y is the output pixel value, x is the input pixel value, c is the contrast adjustment parameter, f (c) is a transfer function of the contrast adjustment parameter,z is the number of bits.

36. The electronic device of claim 25, wherein the processor is configured to:

generating a lookup table of the input pixel value and the output pixel value according to the corresponding relation;

and acquiring the output pixel value according to the lookup table and the input pixel value to obtain the output image.

37. A computer-readable storage medium, on which a computer program is stored, the computer program being executable by a processor to perform the image processing method of any one of claims 1 to 12.

38. A movable platform comprising a powered device and an electronic device as claimed in any one of claims 25 to 36.

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