CN100535984C - Color image enhancement device and method - Google Patents

Abstract

The invention provides a color image enhancement device and method. The color image enhancement device comprises a color attribute determiner and a color attribute adjuster. The color attribute determiner generates an adjusting signal according to the hue, saturation and brightness of a pixel data, wherein the adjusting signal adjusts the hue, saturation and brightness respectively according to the hue, saturation and brightness of the pixel data. The color attribute adjuster is connected with the color attribute judger. The color attribute adjuster is used for receiving an adjusting signal and adjusting the pixel data according to the adjusting signal. The color image enhancement device and the method can adjust the pixel data according to different hues, saturation or brightness, enhance the color expression of the pixel data and ensure that a user has better visual appreciation effect.

Description

Color image enhancement device and method

technical field

The invention relates to an image device, and in particular to a color image enhancement device and method.

Background technique

From the earliest cathode ray tube monitors to the more recent liquid crystal monitors that have gradually become mainstream, monitors have always been an indispensable tool for modern people to exchange information. The cathode ray tube display has been very mature in various application fields, especially in the application of television and computer display, the cathode ray tube display provides rich color performance. CRT displays are less suitable for notebook computers and personal digital assistants (PDAs) due to size and weight considerations. Liquid crystal displays have gradually replaced traditional cathode ray tube displays in various application fields because of their small size and light weight.

The traditional method of recording the color attributes of digital images, such as expressing the color attributes of pixels in RGB, YUV, YCbCr, or YPbPr color coordinates, does not conform to human visual perception in practical applications, so that it is not easy to follow each pixel at the time. Displayed color to adjust its color properties. When adjusting the saturation or brightness, you can only increase or decrease the saturation or brightness of all colors together. For example, H represents Hue, V represents Value, and S represents Saturation. In traditional practice, the adjusted hue, saturation, and brightness of all colors should be the same as:

H'=f(H); S'=f(S); and V'=f(V).

However, human vision does not have a consistent preference for the saturation or brightness of all colors. For example: user A may like more saturated red and less saturated green, but user B may like less saturated red and more saturated blue. Therefore, if we do not consider the individual preferences of human vision, and do not judge the color attributes displayed by the pixels themselves at that time, but only increase or decrease the saturation and brightness together, the user cannot obtain the best visual effect.

Contents of the invention

Therefore, one aspect of the present invention is to provide a color image enhancement device, which adjusts pixel data according to different hues, saturations or brightnesses, enhances its color performance, and allows users to have a better viewing effect visually.

Another aspect of the present invention is to provide a color image enhancement method, which converts the color attributes of pixel data into hue, saturation, and brightness that conform to the human visual model, so as to facilitate the adjustment of the pixel data to enhance its color performance .

Another aspect of the present invention is to provide a color image enhancement method, which adjusts the color attributes of each pixel according to the color displayed at that time, so that the color performance such as saturation or brightness can be enhanced for pixel data of different hues.

According to a preferred embodiment of the present invention, the color image enhancement device includes a color attribute judger and a color attribute adjuster. The color attribute judger generates an adjustment signal according to the hue, saturation and brightness of the pixel data. The respective adjustments of the hue, saturation and brightness of the adjustment signal are determined by the hue, saturation and brightness of the pixel data. The color attribute adjuster is connected to the color attribute judger. The color attribute adjuster is used for receiving an adjustment signal, and adjusts the pixel data according to the adjustment signal.

In the above color image enhancement device, the hue, saturation and brightness of the pixel data are represented by HSV color coordinates.

The above-mentioned color image enhancement device further includes a database for storing a plurality of adjustment data corresponding to different pixel data for the color attribute judger to generate according to the adjustment data corresponding to the hue, saturation and brightness of the pixel data The adjustment signal.

According to another preferred embodiment of the present invention, the color image enhancement device includes a color attribute converter, a color attribute judger, and a color attribute adjuster. The color attribute converter is used to convert the color attribute of the pixel data, wherein the converted color attribute expresses hue, saturation and brightness in HSV color coordinates. The color attribute judger is connected with the color attribute converter, and generates an adjustment signal according to the converted color attribute. The respective adjustments of the hue, saturation and brightness of the adjustment signal are determined by the hue, saturation and brightness of the pixel data. The color attribute adjuster is connected with the color attribute converter and the color attribute judger. The color attribute adjuster is used to receive the adjustment signal, and adjust the converted color attribute according to the adjustment signal.

In the above-mentioned color image enhancement device, before the pixel data is converted, the hue, saturation and brightness are represented by RGB color coordinates, YUV color coordinates, YCbCr color coordinates or YPbPr color coordinates.

According to another preferred embodiment of the present invention, the color image enhancement method is to generate adjustment signals according to the hue, saturation and brightness of pixel data. The respective adjustments of the hue, saturation and brightness of the adjustment signal are determined by the hue, saturation and brightness of the pixel data. Then, adjust the pixel data according to the adjustment signal.

In the above color image enhancement method, the hue, saturation and brightness of the pixel data are represented by HSV color coordinates.

The above color image enhancement method further includes: providing a plurality of adjustment data corresponding to different pixel data, and generating the adjustment signal according to the adjustment data corresponding to the hue, saturation and brightness of the pixel data.

According to another preferred embodiment of the present invention, the color image enhancement method converts the color attributes of the original pixel data, and the converted color attributes represent hue, saturation and lightness in HSV color coordinates. According to the converted color attribute, an adjustment signal is generated. The respective adjustments of the hue, saturation, and brightness of the adjustment signal are determined by the hue, saturation, and brightness of the original pixel data. The original pixel data is adjusted according to the adjustment signal to obtain adjusted pixel data.

In the above color image enhancement method, before conversion, the pixel data expresses hue, saturation and brightness with RGB color coordinates, YUV color coordinates, YCbCr color coordinates or YPbPr color coordinates.

According to yet another preferred embodiment of the present invention, the color image enhancement method uses a color attribute converter to convert the color attributes of the pixel data, wherein the converted color attributes represent hue, saturation and lightness in HSV color coordinates. Using a color attribute judger to generate an adjustment signal according to the converted color attribute. The respective adjustments of the hue, saturation and brightness of the adjustment signal are determined by the hue, saturation and brightness of the pixel data. A color attribute adjuster is used to receive the adjustment signal, and adjust the converted color attribute according to the adjustment signal.

The present invention converts the color attributes of the pixel data to the hue, saturation and brightness conforming to the human visual model, and then determines how to adjust the hue, saturation and brightness according to the hue, saturation and brightness of the pixel data itself. Therefore, color performance such as saturation or brightness can be enhanced for pixel data of different hues, so that users can have a better viewing effect visually.

Description of drawings

In order to make the above-mentioned and other objects, features, advantages and embodiments of the present invention more comprehensible, the detailed description of the accompanying drawings is as follows:

Fig. 1 is a schematic diagram illustrating a preferred embodiment of the present invention;

FIG. 2 is a schematic diagram illustrating a color attribute judger in a preferred embodiment of the present invention; and

FIG. 3 is a flowchart illustrating a method of a preferred embodiment of the present invention.

Explanation of symbols in the figure:

100: Color image enhancement device

102: Color attribute converter 104: Color attribute judge

106: Color attribute adjuster 108: Database

Detailed ways

Since human vision does not have a consistent preference for saturation or brightness of all colors, the traditional method of adjusting the saturation or brightness of all colors at the same time cannot satisfy the user's human vision and personal preference.

The present invention first converts the color attributes of each pixel data into HSV color coordinates, and then adjusts the converted color attributes respectively, so that each pixel data conforms to human vision and personal preferences of users. Any color attribute (such as hue, saturation, or brightness) of each pixel data will be adjusted by considering the hue (H), saturation (S) and brightness (V) at the same time. The adjustment relationship of these three color attributes can be expressed as follows:

H'=f(H,S,V), S'=f(H,S,V); and V'=f(H,S,V).

In other words, the adjustment of hue is related to the hue, saturation and brightness of the pixel data; the adjustment of saturation is related to the hue, saturation and brightness of the pixel data; the adjustment of brightness is related to the hue, saturation and brightness of the pixel data . In this way, the present invention can enhance the color representation of the pixel data, allowing users to have a better viewing effect visually.

FIG. 1 is a schematic diagram illustrating a preferred embodiment of the present invention. The color image enhancement device 100 includes a color attribute converter 102 , a color attribute determiner 104 and a color attribute adjuster 106 . The color attribute converter 102 is used for converting a color attribute of an original pixel data, wherein the converted color attribute is represented by HSV color coordinates. The color attribute determiner 104 is connected to the color attribute converter 102 and generates an adjustment signal according to the converted color attribute. The respective adjustments of the hue, saturation, and brightness of the adjustment signal are determined by the hue, saturation, and brightness of the original pixel data. The color attribute adjuster 106 is connected to the color attribute converter 102 and the color attribute determiner 104 . The color attribute adjuster 106 is used for receiving the adjustment signal, and adjusting the converted color attribute according to the adjustment signal, so as to obtain an adjusted pixel data.

The color attribute converter 102 first receives raw pixel data. The color attribute of the raw pixel data is usually represented by RGB color coordinates, YUV color coordinates, YCbCr color coordinates or YPbPr color coordinates. The above various color coordinates do not actually conform to human visual perception. The color attribute converter 102 therefore converts the color attributes of the original pixel data, so that the converted color attributes are represented by HSV color coordinates conforming to the human visual model.

More specifically, in this preferred embodiment, the color attribute converter 102 converts the color attribute of the original pixel data from rectangular coordinates (such as RGB color coordinates, YUV color coordinates, YCbCr color coordinates or YPbPr color coordinates) into polar coordinates. Coordinates (such as HSV color coordinates) to represent. That is to say, the color attributes converted into polar coordinates, because the hue, saturation, and brightness conform to the human visual model, are beneficial for the subsequent color attribute adjuster 106 to adjust the converted color attributes.

FIG. 2 is a schematic diagram of a color attribute judger in a preferred embodiment of the present invention to illustrate the relationship between the color attribute judger and the database. The above-mentioned color image enhancement device may also include a database 108 for storing a plurality of adjustment data corresponding to different original pixel data, for the color judgment adjuster 104 to generate the above-mentioned adjustment signal according to the adjustment data corresponding to the converted color attributes .

A plurality of adjustment data corresponding to different original pixel data is pre-stored in the database 108 . Preferably, the adjustment data directly correspond to the converted color attributes obtained from different raw pixel data. The database 108 is, for example, a lookup table or other suitable database components or data structures. Moreover, the database 108 can also be directly integrated into the color attribute determiner 104, and does not necessarily have to be an independent component as shown in this preferred embodiment.

Through the database 108, the color attribute determiner 104 can avoid excessive or complicated calculation processes, and this preferred embodiment can greatly increase the processing speed of the color attribute determiner 104. However, if good determination rules can be set and the processing speed is fast enough, the color attribute determiner 104 may also be able to determine each converted color attribute in real time, and accordingly generate an adjustment signal for each converted color attribute.

In addition, the above-mentioned color attribute converter 102 , color attribute determiner 104 and color attribute adjuster 106 may be implemented as software programs or hardware circuits. Moreover, these three should be flexibly selected according to the current design and needs, and it is not necessary that all three are software programs or all three are hardware circuits at the same time.

FIG. 3 is a flowchart illustrating a method of a preferred embodiment of the present invention. The color image enhancement method is to convert a color attribute of an original pixel data, and the converted color attribute is represented by HSV color coordinates, step 302 . An adjustment signal is generated according to the converted color attribute. The respective adjustments of the hue, saturation and brightness of the adjustment signal are determined by the hue, saturation and brightness of the original pixel data, step 304 . Adjust the original pixel data according to the adjustment signal to obtain adjusted pixel data, step 306 .

The color attribute of the raw pixel data is usually represented by RGB color coordinates, YUV color coordinates, YCbCr color coordinates or YPbPr color coordinates. The above various color coordinates do not actually conform to human visual perception. Therefore, the color attributes of the original pixel data are converted, so that the converted color attributes are represented by HSV color coordinates conforming to the human visual model.

More specifically, this preferred embodiment converts the color attributes of the original pixel data from rectangular coordinates (such as RGB color coordinates, YUV color coordinates, YCbCr color coordinates or YPbPr color coordinates) to polar coordinates (such as HSV color coordinates) To represent. That is to say, the color attributes converted into polar coordinates, because their hue, saturation, and brightness conform to the human visual model, are beneficial for adjusting the converted color attributes later.

In addition, the above color image enhancement method may further include providing a plurality of adjustment data corresponding to different original pixel data, and generating the above adjustment signal according to the adjustment data corresponding to the converted color attributes. By preparing these adjustment data in advance, this preferred embodiment can avoid excessive or complicated calculation process in the determination step, thus greatly speeding up the processing speed of the determination step. However, if good judgment rules can be set and the processing speed is fast enough, each converted color attribute can also be judged in real time, and an adjustment signal for each converted color attribute can be generated accordingly.

The above-mentioned preferred embodiment converts the color attributes of the pixel data to the hue, saturation and brightness conforming to the human visual model, and then determines how to adjust the hue, saturation and brightness according to the hue, saturation and brightness of the pixel data itself . Therefore, color performance such as saturation or brightness can be enhanced for pixel data of different hues, so that users can have a better viewing effect visually.

Although the present invention has been disclosed as above with a preferred embodiment, it is not intended to limit the present invention. Any person familiar with this technology can make various modifications and changes without departing from the spirit and scope of the present invention. Retouching all belong to the patent application scope of the present invention, so the scope of protection of the present invention should be determined by the appended claims.

Claims (10)

1. color image enhancing device comprises:

One color determined property device produces one according to form and aspect, saturation degree and the brightness of a pixel data and adjusts signal, and wherein this adjustment signal is that form and aspect, saturation degree and brightness by this pixel data determines together to the adjustment respectively of form and aspect, saturation degree and brightness; And

One color attribute adjuster connects this color attribute converter, and this color attribute adjuster receives this adjustment signal, and adjusts this pixel data according to this adjustment signal.

2. color image enhancing device as claimed in claim 1, wherein the form and aspect of this pixel data, saturation degree and brightness are to represent with the HSV hue coordinate.

3. color image enhancing device as claimed in claim 1, also comprise a database, in order to store a plurality of adjustment data of corresponding different pixels data, produce this adjustment signal according to pairing these adjustment data of form and aspect, saturation degree and the brightness of this pixel data for this color attribute determining device.

4. color image enhancing device as claimed in claim 1, also comprise a color property transformation device, connect this color attribute determining device, in order to this pixel data of conversion before this color attribute determining device, wherein this pixel data after the conversion is to represent form and aspect, saturation degree and brightness with the HSV hue coordinate.

5. color image enhancing device as claimed in claim 4, wherein this pixel data is to represent form and aspect, saturation degree and brightness with rgb color coordinate, YUV hue coordinate, YCbCr hue coordinate or YPbPr hue coordinate before being converted.

6. a chromatic image adds strong method, comprises:

Produce one according to form and aspect, saturation degree and the brightness of a pixel data and adjust signal, wherein this adjustment signal is that form and aspect, saturation degree and brightness by this pixel data determines together to the adjustment respectively of form and aspect, saturation degree and brightness; And

Adjust this pixel data according to this adjustment signal.

7. chromatic image as claimed in claim 6 adds strong method, and wherein the form and aspect of this pixel data, saturation degree and brightness are to represent with the HSV hue coordinate.

8. chromatic image as claimed in claim 6 adds strong method, also comprises: a plurality of adjustment data of corresponding different pixels data are provided, and produce this adjustment signal according to pairing these adjustment data of form and aspect, saturation degree and the brightness of this pixel data.

9. chromatic image as claimed in claim 6 adds strong method, also comprises: change this pixel data before producing this adjustment signal earlier, wherein this pixel data after the conversion is to represent form and aspect, saturation degree and brightness with the HSV hue coordinate.

10. chromatic image as claimed in claim 9 adds strong method, and wherein this pixel data is to represent form and aspect, saturation degree and brightness with rgb color coordinate, YUV hue coordinate, YCbCr hue coordinate or YPbPr hue coordinate before conversion.

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