KR101917776B1 - Method and apparatus of converting color for color vision defectives - Google Patents

Abstract

The present invention relates to a color conversion apparatus for a color tone disorderer, An input unit for receiving a control command from a user; A video display unit for displaying an image; A color characteristic determining unit for collectively controlling each of the functional units and determining a user's color gamut characteristic by inputting or selecting a color blindness type and a color blindness degree selected from a user through the input unit through execution of a preset user's color gamut input menu, And an image color conversion unit for converting a predetermined basic hue table of the terminal according to the user's hue characteristic and converting the color of the image to be displayed on the image display unit by applying the converted basic color table, .

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a color conversion method,

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a color conversion method for use in a terminal such as a mobile phone, a tablet, a notebook, a camera, a TV, a PDA (Personal Digital Assistants) will be.

Hue hue refers to the phenomenon that congenital dysfunction of retinal cone cells or damage of acquired retinal cone cells or visual pathway fail to distinguish color normally. The color felt by a normal person is expressed by a mixture of three monochromatic red, green, and blue colors. Color blindness is defined as the incomplete function of one of three cones, red, green, and blue.

Along with the development of handsets, the screen inside the handsets has become diverse and various colors can be used. However, this causes more inconvenience to distinguish colors from those of the color-blind people with the color-blindness problem. In addition, when the contents need to be recognized by color, the contents may not be recognized. Therefore, in order to solve the above-mentioned problem, existing image devices use a color transformation technique that converts color to a color that can distinguish a color-blind disorder. In addition, various color conversion techniques have been researched to convert the color to a color that can distinguish the hue disorder.

As examples of color conversion techniques, Y. Ma, X. Gu and Y. Wang, " Color discrimination enhancement for dichromats using self-organizing color transformation, Information Sciences, 2009, vol.179, pages 830-843 & Discloses a technique of converting colors using a code book prepared in advance using a self organizing map (SOM) as shown in FIG. S.L. As shown in FIG. 2, Ching and M. Sabudin analyze the RGB components of a pixel to determine the color of the pixel as shown in FIG. 2 in "Website image color transformation for the color blind, 2nd International conference on Computer Technology and Development, Cairo, 2010, pages. Conversion technique for changing the size of the image. In the case of FIG. 2, the process of the self-organizing map (SOM) is replaced by the color conversion in the RGB color space and the HSV color space while performing the color conversion by applying the color conversion technique as shown in FIG. Can be converted. Therefore, the color conversion method of FIG. 2 can be used in a web site that requires fast color conversion of the image.

The conventional techniques have a problem in that color conversion can not be performed in accordance with the characteristics of individual color-blind deflectors because a color to be color-converted is determined in advance in the algorithm and color conversion is performed. In addition, there is a problem that an image having a degree of color conversion image is generated when a color conversion image using existing techniques is viewed by a person with color weakness disorder. Therefore, existing technologies have the ability to distinguish colors, not color blindness, and their ability is somewhat problematic to apply to individuals with different color disabilities. In addition, it is not suitable to apply the existing method of converting the color to the same terminal regardless of the color discrimination ability, such as a mobile device.

Accordingly, it is an object of the present invention to provide a color conversion method and apparatus for converting a color gamut so that each color gamut can display an appropriately converted image in accordance with an individual color gamut characteristic.

It is another object of the present invention to provide a color conversion method and apparatus for a color gamut suitable for application to a portable terminal such as a mobile device.

According to one aspect of the present invention, there is provided a color conversion method for a color tone disorderer, Inputting or selecting a selected color tone type and color tone degree from a user through execution of a preset user color tone input menu to determine a user's color tone characteristic; And an image color conversion step of converting a predetermined basic hue table of the terminal according to the user's hue characteristic and applying the converted basic hue table to convert the color of the image to be displayed.

The converting of the basic color table may include: setting a total color range of a HSV (Hue Saturation Value) color space by dividing the entire color range into a plurality of color intervals by 60 degrees; Determining a color parameter and a user hue parameter for specifying a degree of enlargement of the color section, applying the determined color weakness parameter and a user color variable to the HSV And converting and storing the basic color table in a color space, wherein the reduction or enlargement of the color period is to reduce or enlarge an initially set color range, and corresponds to both end point values of a color range of an initial color period The HSV value is changed corresponding to the end point value of the color range of the reduced or enlarged color range. do.

The converting of the color of the image to be displayed may include a step of converting the image pixel RGB (Red Green Blue) value of the image to be displayed into a HSV (Hue Saturation Value) color space, Converting the color of the image to be displayed using the color table, and converting the HSV color space to the image pixel RGB value again.

According to another aspect of the present invention, there is provided a color conversion apparatus for a color tone disorderer, An input unit for receiving a control command from a user; A video display unit for displaying an image; A color characteristic determining unit for collectively controlling each of the functional units and determining a user's color gamut characteristic by inputting or selecting a color blindness type and a color blindness degree selected from a user through the input unit through execution of a preset user's color gamut input menu, And an image color conversion unit for converting a predetermined basic hue table of the terminal according to the user's hue characteristic and converting the color of the image to be displayed on the image display unit by applying the converted basic color table, .

The image color conversion unit may include a basic color table converting unit for converting a basic color table having predetermined color information of the terminal according to the color tone characteristics of the user determined by the color tone characteristics determination unit and storing the basic color table, An RGB / HSV converting unit for converting a color value of the image to be displayed into an HSV (Hue Saturation Value) color space in the HSV color space, And an HSV / RGB converter for converting the HSV color space into image pixel RGB values again.

As described above, by using the color conversion method and apparatus for color difference aberration according to the present invention, it is possible to view the appropriately converted image according to the color discrimination ability characteristic of the individual, The present invention can be applied to a portable terminal used by a person like a device, so that color-blinders can recognize color without difficulty.

Figure 1 shows a color conversion flowchart of a scheme using a self-organizing map (SOM) according to the prior art embodiment
FIG. 2 is a block diagram illustrating an RGB division color conversion flowchart according to an embodiment of the related art.
FIG. 3 is a block diagram of a color conversion device for a color-shifted image according to an embodiment of the present invention.
FIG. 4 is a detailed block diagram of the image color conversion unit in FIG.
FIG. 5 is a flowchart illustrating a process of determining a color tone characteristic in a color conversion operation for a color gamut according to an exemplary embodiment of the present invention.
FIG. 6 is a flowchart illustrating a process of converting an image color in a color conversion operation for a color gamut according to an exemplary embodiment of the present invention.
7 is a graph showing an example of a hue of a basic color table applied to the present invention as an RGB value
8 is a graph showing an example of a hue recognition state of a color-blind person and a general person
FIG. 9 is a graph illustrating the conversion of a basic color table according to an exemplary embodiment of the present invention, in which an HUE value is represented by an HUE value and an RGB value,
FIG. 10 is a graph showing an example of HSV value of hue of a general person and red manganese
FIG. 11 is a graph showing an example of the conversion of a color period in which, in the case of a red-color blindness, a color gamut recognizes the same color and can not distinguish it, according to an embodiment of the present invention.
FIG. 12 is a graph illustrating an example of the conversion of a color section that is not distinguished according to the type of color tone abnormality in the case of red-color blindness according to an embodiment of the present invention.
13 is a graph showing an example of a color of a basic color table and a basic color table converted from a red-color blind color according to an embodiment of the present invention
Fig. 14 is a diagram showing an image before color conversion and after color conversion
15 is a graph illustrating an example of a color range in which the brightness of a color seen by a red-color-blind person is lower than that of a color seen by an ordinary person according to another embodiment of the present invention
16 is a graph showing an example graph showing a change in the value of hue according to the degree of hue of color in the case of red-color blindness according to another embodiment of the present invention.
17 is a detailed block diagram of an image color conversion unit in the case of a red-color hue or more according to another embodiment of the present invention
18 is a flowchart of a process of converting an image color during a color conversion operation for a red-color-blotch
FIG. 19 is a detailed block diagram of an image color conversion unit in the case of a cyan color or more according to another embodiment of the present invention
FIG. 20 is a flowchart of a process of converting an image color during a color conversion operation for a color difference anomaly in the case of a cyan hue or more, according to another embodiment of the present invention

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the present invention as defined by the following claims. And will be apparent to those skilled in the art.

In the embodiment of the present invention, color blindness and color blindness of two colors are unclear. In the present invention, color blindness and color blindness are referred to as color blindness. Color blindness is the absence of one of the cone cells, and the color weakness is the incomplete function of one of the cone cells. Types of color blindness are red and blue color blindness, red blind with no red receptor, green blind with no green receptor, and blue blind with no blue receptor. In addition, there are two types of color medicine: red color powder and blue color, and the red color powder can be classified into red color and green color.

In addition, the degree of color anomaly is quantified from 0 to 1.0 depending on the severity of the color anomaly. In the case of color blindness, the numerical value of the degree of color vision abnormality is 1.0, and in the case of color pencil, the value falls within the range of 0.1 to 0.9. Numbers closer to 0 are less severe than color blindness. .

FIG. 3 is a block diagram of a color conversion device for a color gamut according to an exemplary embodiment of the present invention. Referring to FIG. Referring to FIG. 3, the color conversion device for a color difference aberration of the present invention includes an input unit 3, a video display unit 6, a memory unit 9, and a control unit 1.

The input unit 3 receives a control command from a user and may include at least one of a touch screen, a keyboard, a button, a mouse, and an input I / F.

The image display unit 6 is a device for displaying images such as a touch screen, a monitor, and the like, and can display images such as moving images, photographs, and preset menu screens.

The memory unit 9 stores the operation of each functional unit and can store signals or data input and output corresponding to the operation of the input unit 3 and the video display unit 6 under the control of the control unit 1. [ have. The memory unit 6 may also store control programs and applications for controlling the apparatus or the control unit 1. [

The control unit 1 collectively controls the functional units of the input unit 3, the video display unit 6, and the memory unit 9. The control unit 1 also includes a color characteristic determining unit 10 for determining a user's color gamut characteristic by inputting or selecting the selected color blindness type and color blindness degree from the user through the input unit 3, . The controller 1 converts the predetermined basic color table of the terminal according to the user's hue characteristic and applies the converted basic color table to the image display unit 6 to convert the color of the image to be displayed. .

In detail, the color tone characteristic determining unit 10 sets all color tone anomalous types such as red-color blindness, red-green color blindness, and blue blindness, and a degree of color blindness that is numerically expressed from 0 to 1.0 for each of the color-blindness ideal type. The color tone property determination unit 10 stores the color tone anomaly types selected by the user from the displayed preset color tone anomaly types.

In addition, a plurality of preset images are displayed according to the degree of color anomaly according to the color anomaly type, and the degree of color anomaly is determined and stored according to the selected image selected by the user. At this time, a plurality of preset example images are preset images so that the corresponding color difference aberration can be best distinguished according to the severity of each color image. That is, when a user selects an image having the easiest color classification among a plurality of predetermined preset images, the predetermined degree of color blindness corresponding to the selected image is stored.

In addition, the color characteristic determining unit 10 may have a configuration for receiving and storing the types of color tone abnormalities and the degree of color tone errors from a user, for example. That is, when the user knows his / her own type of color vision abnormality and degree of color vision abnormality among preset color vision abnormality type and degree of color vision abnormality, he / she can input and store his / her color vision abnormality type and color vision abnormality degree.

FIG. 4 is a detailed block diagram of the image color conversion unit 20 in FIG. Referring to FIG. 4, the detailed configuration of the image color conversion unit 20 is performed by converting a basic color table 211 having preset color information of the terminal according to the color characteristic of the user determined by the color characteristic determination unit 10 And a basic color table converting unit 210 for storing the basic color table.

At this time, the basic color table converting unit 210 determines a color weakening parameter for specifying the degree of reduction of the color range of the HSV color space and a user color variable for specifying the degree of enlargement of the color range according to the user's color characteristic. Also, the basic color table is converted and stored by applying the determined color weakness variable and user color variable.

The detailed configuration of the image color conversion unit 20 includes an RGB / HSV conversion unit 240 for converting image pixel RGB values of an image to be displayed into an HSV color space, A color conversion unit 260 for converting an image color of an image to be displayed, and an HSV / RGB conversion unit 280 for converting the HSV color space back to an image pixel RGB value.

Hereinafter, the operation of the color conversion apparatus for the color tone disorder having the above-described configuration will be described in more detail.

FIG. 5 is a flowchart illustrating a process of determining a color gamut characteristic in a color conversion operation for a color gamut according to an exemplary embodiment of the present invention.

Referring to FIG. 5, in the process of determining the color tone characteristics, a color tone error category selected by the user is stored among preset color tone anomaly categories displayed in step 11 first.

That is, when the program for converting the color for the color blind disorder of the present invention is executed through the user's selection, the terminal displays a menu for determining the preset color tone characteristics. In addition, when a menu for determining a color characteristic is selected through selection of a menu for determining a color characteristic of a user, the terminal displays a screen for determining the type of color tone abnormality. At this time, the screen for judging the displayed type of color blindness includes all types of color blind abnormalities such as red blind, blind blind, and green blind, and stores the type of blindness selected by the user among all types of blinking abnormalities.

Thereafter, in step 13, a plurality of preset images are displayed according to the degree of the degree of color anomaly according to the type of the color anomaly, and the degree of the color anomaly is determined and stored according to the selected image selected by the user.

When the step 11 is completed, the terminal displays a screen for judging a predetermined degree of hue or hue. At this time, the screen for determining the degree of color tone abnormality has a plurality of preset images set according to the degree of color tone abnormality according to the type of color tone abnormality displayed. The degree of color tone abnormality is determined and stored according to the example image selected by the user. In addition, a plurality of preset images are preset images so that the corresponding color difference aberration can be best distinguished according to the degree of severity over each color hue, and the degree of color hue anomaly is numerically set from 0 to 1.0.

The operation of determining the color characteristic may be performed as described above. In addition, in the process of determining the color characteristic, for example, the user can input and store the color difference type and the color difference degree from the user. That is, when the user knows his / her own type of color vision abnormality and degree of color vision abnormality among preset color vision abnormality type and degree of color vision abnormality, he / she can input and store his / her color vision abnormality type and color vision abnormality degree.

FIG. 6 is a flowchart illustrating a process of converting an image color in a color conversion operation for a color gamut according to an exemplary embodiment of the present invention. Referring to FIG. 6, a color Hue, a saturation, To convert the color of the image to be displayed.

Referring to FIG. 6, in the image color conversion process, in step 21, a preset basic color table is converted according to the determined color characteristics, and a detailed description thereof will be described below. In step 23, the image pixel RGB value of the image to be displayed is converted into the HSV color space in order to convert the color of the image to be displayed in the HSV color space. In step 25, the color of various images to be recognized by the user is converted in the HSV color space, and the color of the image to be displayed is converted using the converted basic color table. In step 27, the HSV color space is converted into the image pixel RGB value again to display the converted image on the screen of the terminal.

Step 21 is a step performed only once when the terminal applies the color conversion for the color blind person according to the present invention. When the terminal actually displays the image, the color table set in step 21 is called, The color of the image to be displayed on the terminal is converted through the process up to step 27.

Referring to FIGS. 7 to 12, the step of converting a preset basic color table of the terminal according to the determined color characteristics of step 21 will be described in detail.

In step 21, the entire color range of the HSV color space is divided into a plurality of colors by 60 degrees.

FIG. 7 is an exemplary graph showing the hue of the basic color table applied to the present invention in terms of RGB values, and is a graph in which the range of HUE (color) values in RGB values is divided into six colors by 60 degrees. However, in order to facilitate understanding of the present invention, FIG. 7 only shows the colors of the basic color table as RGB values, and the step 21 actually operates in the HSV color space instead of the RGB values.

Then, a coloring parameter for specifying the degree of reduction of the color section and a user color variable for specifying the degree of enlargement of the color section are determined according to the color characteristics of the determined user. At this time, the color weakness variable and the user color variable are preset values stored for each of the predetermined color characteristics, and the color weakness variable and the user color variable can be added by a user operation. That is, the color weakness variable and the user color variable can be preset so as to be reconfigurable, and the function can be added so that the user can change the respective values according to the degree of color discrimination. The reduction or enlargement of the color section is to reduce or enlarge the initially set color range. The HSV value corresponding to both end point values of the color range of the initial color section is reduced or enlarged, and both end portions of the color range of the color section Corresponding to the point value.

That is, initially, the color range is divided into six sections by 60 degrees, thereby determining the characteristic of each section, and the basic color table can be converted by enlarging or reducing the color section set at the beginning.

The basic color table conversion first determines a reference color value based on the absence of color conversion in the basic color table conversion. In this case, the reference color value is a color value previously set such that the hue difference of the color distribution of the HSV color space is the same as that of the general view.

8 (a) is an example graph in which only two color values among the color values of the general time are recognized to be the same as the normal time, in FIG. 8 (a) , And FIG. 8 (b) is an example graph in which only the three color values of the color values of the normal time are recognized as the same as the normal time. In FIG. 8 (c), regardless of the degree of color weakness, three color values of the same type of color weakness can be seen in the same manner as the general vision. In the case of color blindness, The color value of the place is also an example graph that matches the three color values that can be seen in the same manner as the ordinary color.

FIG. 9 is an exemplary graph showing a HUE value and a HUE value in order to explain a conversion of a basic color table according to an exemplary embodiment of the present invention. Referring to FIG. 9, Is a graph for determining a reference color value. Referring to FIG. 9, in the case of red color blindness, the reference color value is a color blindness in which a color blindness type is more than a color blindness, a color blindness type in a color blindness type is more than 0.8, (Hue value) of 60 degrees, 180 degrees, and 240 degrees corresponding to the color values of 0.5, which is not less severe than 0.8, is determined as the reference color value.

Then, the basic color table conversion is performed by applying a color weakness variable and a reference color value, thereby changing a predetermined color period without changing color, saturation, and brightness. In the color space of the HSV color space, the constant color range without changing the color, the saturation and the brightness is determined as the reduction period since the color blindness is recognized as the same color and can not be distinguished. The reduction section is reduced from the point having the color value having a large difference from the reference color value of the color range of the reduction section by the color weakness variable. Finally, the color value having a larger difference from the reference color value of the reduced reduction period is enlarged by the reduced size of the adjacent color range.

10 (a) is an exemplary graph showing HSV values according to the Hue value of the general view, and FIG. 10 (b) is an example graph showing the hue of the general person and the red manganese as HSV values. ) Is an example graph showing the HSV value according to the hue value over the hue. The HSV values according to the hue value of the general viewpoint are divided into different colors from the interval 1 to 6. In addition, the HSV value according to the hue value of the color hue shows only two colors, and the saturation and the value change in the normal view.

FIG. 11 is an exemplary graph showing a case in which, in the case of red-color blindness, a color gamut that is recognized by the same color and is not distinguishable is converted. Referring to FIG. 11, in the case of a red-color-blind color, a section 2 and a section 5 of a certain color section are determined as a reduced section without changing color, saturation, and brightness. Then, the section 2 is reduced from the point having the large difference from the reference color value 60 in the section 2 by the color weakness variable. Then, the enlarged color value is enlarged by the reduced size of the adjacent color space value 3 and the reference color value 60 of the reduced color space 2. Also, the interval 5 is reduced from the point having the large difference from the reference color value 240 in the interval 5 by the color weakness variable. Then, the enlarged color value is enlarged by the reduced size of the adjacent color space value 6 and the reference color value 240 of the reduced color space 5.

And the basic color table conversion changes the color period in which the brightness in the color period decreases or increases at a constant rate. The color interval in which the brightness of the HSV color space decreases or increases at a constant rate is determined as the change interval. In addition, a section having a color that is not distinguishable from the color of the change section is determined as a comparison section, depending on the type of color hue or more. One section of the change section adjacent to the comparison section is reduced by the color weakening variable, and the other section of the change section is enlarged by the user variable.

FIG. 12 is an exemplary graph illustrating the conversion of a color period that is not classified according to the type of color-blindness in the case of red-color blindness according to an embodiment of the present invention. Referring to FIG. 12, in the case of red-color blindness, the change period is determined as interval 1 and interval 6, which are color gamuts of red color whose brightness decreases or increases at a constant rate. In addition, according to the red-color blindness, which is a type of color blindness, the comparative period is determined as the interval 2 and the interval 3, which are green color intervals not distinguishable from the red color. In this case, both the interval 1 and the interval 6 are red, but the interval 1 is red, which is not distinguished from the intervals 2 and 3 of the green, and the interval 6 is the red which is divided into the intervals 2 and 3 of the green. Therefore, by reducing the interval 1 of the red color not separated from the green most adjacent to the comparison interval 2, which is the interval 2, and the interval 6 of the red color separated from the green by the user variable, The distribution was transformed.

In the case of enlarging the color interval or the change interval in the basic color table conversion, the histogram smoothing may be additionally applied so that the color values of the basic color table and the color values of the converted basic color table are non-linearly related. In order to solve this problem, histogram smoothing is applied to enlarge the color interval or the change interval in the conversion of the color table so that the input color value and the output color value are not linearly related but nonlinear relationship . ≪ / RTI > Human beings are more aware of the color perception by the brightness of the image than by the brightness of the image. The histogram smoothing is performed by distributing the image in the entire region of the pixel value in a narrow region, Increase the size to increase awareness of color recognition.

That is, according to the present invention, the color conversion for the color-blind shifter reduces the color range in which the color-blind error can not be distinguished, and enlarges the color range in which the color-blind error is distinguishable adjacent to the reduced color range. .

FIG. 13 is an exemplary graph showing a color of a basic color table and a basic color table converted from a red-color blind according to an embodiment of the present invention. FIG. 13 (a) In the conversion method, a color graph of a basic color table that has not been converted is represented by RGB and HSV. 13B is a graph showing a color graph of the converted basic color table converted into RGB and HSV in the case of red color fade in the image color conversion method according to an embodiment of the present invention.

14 (a) is an original image, Fig. 14 (b) is a view of a red-color blindfold, Fig. 14 (c) is a color conversion result image to be. 14D is a color conversion result image to which a user color variable having a value larger than that of FIG. 14C is applied.

In another embodiment, in the case of a red-color hue or higher, the hue and brightness can be corrected to perform a color conversion operation for a hue change. The brightness correction at this time can solve the problem that the brightness is not corrected and the color appears dark.

FIG. 15 is an exemplary graph illustrating a color range in which the brightness of a color seen by a red-color-blind person is lower than that of a color seen by a general public according to another embodiment of the present invention. 15 (a) is an RGB color image that can be seen by a general person, and FIG. 15 (b) is an RGB color image that can be seen by a teardrop color blind. FIG. 15 (b) The brightness of the color of the interval 6 is lower than the brightness of the color that the general person can see.

FIG. 16 is an exemplary graph showing a change in the value of a hue according to the degree of color-blurring in the case of red-color blindness according to another embodiment of the present invention. In the graph, the color in general does not have a color vision abnormality. In Color Blindness 1.0, the type of color blindness is color blindness. In the case of color blindness 0.8, the types of color blindness and color blindness are serious. will be. As the degree of color anomaly increases in the interval 1 and the interval 6 in which the brightness decreases or increases at a constant rate,

17 is a detailed block diagram of the image color converter 20 in the case of a red-color hue or higher according to another embodiment of the present invention. Referring to FIG. 17, the detailed configuration of the image color converter 20 is such that the basic color table 311 having preset color information of the terminal is converted according to the color characteristics of the user determined by the color characteristic determination unit 10 And a basic color table converting unit 310 for storing the basic color table. At this time, the basic color table conversion unit 310 determines a coloring parameter for specifying the degree of reduction of the color range of the HSV color space according to the user's color characteristic, applies the determined coloring parameter, Converts and stores tables.

The detailed configuration of the image color conversion unit 20 includes an RGB / HSV conversion unit 340 for converting image pixel RGB values of an image to be displayed into an HSV color space, and a color / A color conversion unit 360 for converting an image color of an image to be displayed, and an HSV / RGB conversion unit 380 for converting the HSV color space back to an image pixel RGB value.

In addition, the image color converter 20 includes a brightness converter 390 for correcting brightness of an interval in which the brightness decreases or increases in a constant ratio in the HSV color space in the case of a red-color hue or more. At this time, the brightness transform unit 390 determines and applies a preset user brightness parameter that specifies the degree of correction of the brightness value corresponding to the color value in the HSV color space according to the user's color gamut, The brightness values in the brightness table corresponding to the hue values in the RGB / HSV converter 340 are applied, and the B values of the converted RGB pixels in the HSV / RGB converter 380 are applied, / HSV converting unit 340 receives and converts the brightness value. At this time, the brightness table stores brightness values corresponding to the respective color values of the basic color table.

Another embodiment for applying the operation of correcting the color and brightness of the image color converter 20 as described above will be described in detail as follows.

FIG. 18 is a flowchart of a process of converting image colors during a color conversion operation for a red-color-blurred-color-blind person according to another embodiment of the present invention. Referring to FIG. 18, in the image color conversion process, first, in step 31, a preset basic color table is converted according to the determined color characteristics, and a detailed description thereof will be described below. In step 33, the image pixel RGB value of the image to be displayed is converted into the HSV color space in order to convert the color of the image to be displayed in the HSV color space. In step 35, a color part of various images to be recognized by the user is converted in the HSV color space, and the color of the image to be displayed is converted using the converted basic color table. Thereafter, in step 37, the HSV color space is converted again to the image pixel RGB value. In step 39, a brightness of a part of the image to be displayed is corrected using the user brightness parameter, the brightness table, and the value of B among the image pixel RGB values, and the detailed description will be described below.

In step 31, when the terminal applies the color conversion for the color deviation of the present invention, it is performed only once at the beginning. When the terminal actually displays the image, the color table set in step 31 is called, The color of the image to be displayed on the terminal is converted through the process up to step 39.

In step 31, first, the entire color range of the HSV color space is divided into a plurality of colors by 60 degrees.

In addition, a color weakening parameter for specifying the reduction degree of the color section is determined according to the user's color characteristic. At this time, the color weakness variable is a value previously set and stored for each of the predetermined color characteristics, and the color weakness variable can be added by a user operation. In other words, it is possible to preset the color weakness variable so as to be reconfigurable so that the function can be added so that the user can change the respective values according to the degree of color discrimination. In addition, the reduction of the color period is to reduce the initially set color range and to change the HSV value corresponding to the end point value of the color range of the initial color period to correspond to the end point value of the color range of the reduced color period .

That is, initially, the color range is divided into six sections by 60 degrees, thereby determining the characteristics of each section, and converting the basic color table through reduction of the color section set at the beginning.

Then, the determined color weakness variable is applied to convert and store the basic color table in the HSV color space.

The basic color table conversion first determines a reference color value based on the absence of color conversion in the basic color table conversion. In this case, the reference color value is a color value previously set such that the hue difference of the color distribution of the HSV color space is the same as that of the general view.

Then, the basic color table conversion is performed by applying a color weakness variable and a reference color value, thereby changing a predetermined color period without changing color, saturation, and brightness. In the color space of the HSV color space, the constant color range without changing the color, the saturation and the brightness is determined as the reduction period since the color blindness is recognized as the same color and can not be distinguished. The reduction section is reduced from the point having the color value having a large difference from the reference color value of the color range of the reduction section by the color weakness variable. Finally, the color value having a larger difference from the reference color value of the reduced reduction period is enlarged by the reduced size of the adjacent color range. At this time, the reduction or enlargement of the color period is to reduce or enlarge the initially set color range, and the HSV value corresponding to the end point value of the color range of the initial color period is reduced or enlarged, Corresponding to the point value.

When the color range is expanded in the basic color table conversion, the histogram smoothing may be additionally applied so that the color values of the basic color table and the color values of the converted basic color table are nonlinearly related.

In step 39, the color interval in which the brightness of the HSV color space decreases or increases at a constant rate is determined as the change interval, and the HSV color space is converted into the image pixel RGB value again in the change interval. The brightness B value is corrected by brightness correction by applying the following expression (1).

In Equation (1), B 'is the brightness-corrected B value, and B is the B value of the image pixel RGB value when the HSV color space is converted into the image pixel RGB value again. Also, DELTA V is a brightness value of the brightness table, and the brightness table is preset by storing brightness values corresponding to the respective color values of the basic color table. Also, mu is a correction value of the brightness value corresponding to the hue value in the HSV color space as a user brightness parameter, and can be applied as a value between 0 and 1, and is determined according to the determined user hue characteristic.

In another embodiment, in the case of a blue angle or more, only the brightness can be corrected without color conversion, and the color conversion operation for the color difference gamut can be performed.

FIG. 19 is a detailed block diagram of an image color conversion unit in the case of cyan or more in accordance with another embodiment of the present invention. Referring to FIG. 19, the detailed configuration of the image color converter 20 includes an RGB / HSV converter 440 for converting image pixel RGB values of an image to be displayed into an HSV color space, An HSV / RGB converting unit 480 for converting RGB values into RGB values, and a brightness converting unit 490 for correcting and converting the brightness of an interval in which the brightness decreases or increases in a constant rate in the HSV color space. At this time, the brightness transform unit 490 determines and applies a preset user brightness parameter that specifies the degree of correction of the brightness value corresponding to the color value in the HSV color space, according to the user's color gamut, The brightness values in the brightness table corresponding to the hue values in the RGB / HSV converting unit 440 are applied and the R values of the converted RGB pixels in the HSV / RGB converting unit 480 are applied to the RGB / HSV converting unit 440 and receives the brightness value. At this time, the brightness table stores brightness values corresponding to the respective color values of the basic color table.

Another embodiment of applying the operation of correcting and converting the brightness of the image color converter 20 in the case of the above-mentioned blue angle or more will be described in detail as follows.

FIG. 20 is a flowchart illustrating a process of converting an image color during a color conversion operation for a color tone error in the case of cyan or more in accordance with another embodiment of the present invention. Referring to FIG. 20, in step 41, the image pixel RGB values of an image to be displayed are converted into an HSV color space in order to use color and brightness in the HSV color space for luminosity conversion described later . Thereafter, in step 43, the HSV color space is converted back to the image pixel RGB value in order to use the R value among the image pixel RGB values for the brightness conversion described later. In step 45, the brightness of the image to be displayed is corrected using the user brightness parameter, the brightness table, and the B value among the image pixel RGB values, and the detailed description is as follows.

In step 45, the entire color range of the HSV color space is divided into a plurality of colors by 60 degrees, and then a color interval in which the brightness of the HSV color space decreases or increases at a constant rate is determined as the change period. Then, the R value of the image pixel RGB values in the step of converting the HSV color space to the image pixel RGB value in the change interval is subjected to brightness correction by applying Equation (2) below.

In Equation (2), R 'is the brightness-corrected R value, and R is the R value of the image pixel RGB value when the HSV color space is converted into the image pixel RGB value again. Also, DELTA V is a brightness value of the brightness table, and the brightness table is preset by storing brightness values corresponding to the respective color values of the basic color table. Also, mu is a correction value of the brightness value corresponding to the hue value in the HSV color space as a user brightness parameter, and can be applied as a value between 0 and 1, and is determined according to the determined user hue characteristic.

The present invention relates to a method and apparatus for determining the color characteristics of a user through the execution of a program or the like and performing color conversion so that the color difference aberration can be distinguished without difficulty by using a mobile phone, a tablet, a notebook, a camera, a TV, Digital Assistants), and the like.

In one embodiment of the present invention, a method of converting color by applying to a red-color blindness, which is one kind of color hue or more, is described, but it can be applied to all color blind except for a color blindness in which all three conical cells among the color blind errors are not present.

It will be appreciated that embodiments of the present invention may be implemented in hardware, software, or a combination of hardware and software. Such arbitrary software may be stored in a memory such as, for example, a volatile or non-volatile storage device such as a storage device such as ROM or the like, or a memory such as a RAM, a memory chip, a device or an integrated circuit, , Or a storage medium readable by a machine (e.g., a computer), such as a CD, a DVD, a magnetic disk, or a magnetic tape, as well as being optically or magnetically recordable. It will be appreciated that the memory that may be included in the portable terminal is an example of a machine-readable storage medium suitable for storing programs or programs containing instructions for implementing the embodiments of the present invention. Accordingly, the invention includes a program comprising code for implementing the apparatus or method as claimed in any of the claims, and a machine-readable storage medium storing such a program. In addition, such a program may be electronically transported through any medium such as a communication signal transmitted via a wired or wireless connection, and the present invention appropriately includes the same.

As described above, the color conversion method and apparatus for a color difference aberration according to an embodiment of the present invention can be configured and operated. While the present invention has been described with respect to specific embodiments thereof, Without departing from the scope of the invention. Accordingly, the scope of the present invention should not be limited by the illustrated embodiments, but should be determined by equivalents of the claims and the claims.

Claims (24)

A color conversion method for a color tone disorder,
Inputting or selecting a selected color tone type and color tone degree from a user through execution of a preset user color tone input menu to determine a user's color tone characteristic;
And converting the color of the image to be displayed by applying the converted basic color table to the terminal, and converting the color of the image to be displayed,
Converting the basic color table may include:
The HSV color space is divided into a plurality of color sections and the color section is reduced or enlarged. When the color section is enlarged, a histogram equalization is applied to obtain a color value of the basic color table And the color values of the converted basic color table are nonlinearly related. The method of claim 1,
Storing the displayed type of hue abnormalities displayed by the user among preset hue aberration types to be displayed,
And displaying a plurality of preset images preset according to the degree of color blindness for each of the types of color blindness and determining the degree of blinking abnormality according to an example image selected by the user and storing the degree of color blindness abnormality Color conversion method. The method of claim 1, wherein transforming the base color table comprises:
Setting a total color range of a hue saturation value (HSV) color space by dividing the entire color range into 60 占 color spaces;
Determining a color parameter (CVD parameter) for specifying a reduction degree of the color section and a user hue parameter for specifying a degree of enlargement of the color section according to the determined user's hue hue characteristic;
Transforming and storing the basic color table in the HSV color space by applying the determined color weakness parameter and user color variable,
The HSV value corresponding to the end point value of the color range of the initial color period is reduced or enlarged by the initial end of the color range, Value of the color difference signal. 4. The method of claim 3, wherein the color weakness variable and the user &
Wherein the color conversion method is capable of being set by a user operation. 4. The method of claim 3, wherein transforming and storing the basic color table in the HSV color space comprises:
A reference color value that is a reference to determine that there is no color conversion when converting the basic color table according to the HSV color space,
Applying the color weakness parameter and the reference color value to change a predetermined color period without changing color, saturation, and brightness in the color period,
Wherein the color gamut parameter, the user color variable, and the reference color value are applied to change the color period in which the brightness decreases or increases at a constant rate in the color period. 6. The method of claim 5, wherein changing the color interval in which the brightness of the color interval is decreased or increased at a constant rate,
Determining a color section in which the brightness decreases or increases at a constant rate as a change section,
Determining a section having a color not distinguishable from a color of the change section as a comparison section according to the type of the color hue or more,
Wherein one of the change intervals adjacent to the comparison period is reduced by the color weakening parameter and the other one of the change intervals is enlarged by the user color variable. delete 2. The method of claim 1, wherein transforming the color of the image to be displayed comprises:
Converting an image pixel RGB (Red Green Blue) value of the image to be displayed into an HSV color space;
Converting the color of the image to be displayed using the converted basic color table in the HSV color space,
And converting the HSV color space to the image pixel RGB value. The method of claim 1, wherein transforming the base color table comprises:
Setting a total color range of the HSV color space by dividing the entire color range into a plurality of color sections by 60 degrees,
Determining a color weakness parameter that specifies a degree of reduction of the color section according to the determined user's hue hue characteristic;
Converting and storing the basic color table in the HSV color space by applying the determined color weakness parameter,
The reduction of the color period is performed by reducing the initially set color range and changing the HSV value corresponding to the end point value of the color range of the initial color period to correspond to the end point value of the color range of the reduced color period And a color conversion method for color difference aberration. 10. The method according to claim 9,
Wherein the color conversion method is capable of being set by a user operation. 10. The method of claim 9, wherein transforming and storing the basic color table in the HSV color space comprises:
A reference color value that is a reference to determine that there is no color conversion when converting the basic color table according to the HSV color space,
And applying the color weakness parameter and the reference color value to change a predetermined color period without changing color, saturation, and brightness in the color period. The method according to claim 5, wherein the reference color value is a color value preset for the hue distribution of the hue distribution of the HSV color space to be the same as that of the general hue, . 6. The method of claim 5, wherein the hue, saturation,
Determining a constant color section as a reduction section without changing the hue, saturation, and brightness,
The reduction section is reduced from a point having a color value having a large difference from the reference color value among the color values corresponding to both end points of the color range of the reduction section,
And enlarges a color interval adjacent to a color value having a difference larger than the reference color value of the reduced period by a reduced size,
The HSV value corresponding to the end point value of the color range of the initial color period is enlarged by enlarging the color period by the reduced size, Value of the color difference signal. 14. The method according to claim 13, wherein, when enlarging a color range adjacent to a color value having a larger difference from the reference color value of the reduced size section by the reduced size,
Wherein a histogram equalization is applied to form a nonlinear relationship between a color value of the basic color table and a color value of the converted basic color table. 2. The method of claim 1, wherein transforming the color of the image to be displayed comprises:
Converting an image pixel RGB value of the image to be displayed into an HSV color space;
Converting the color of the image to be displayed using the converted basic color table in the HSV color space,
Converting the HSV color space back to the image pixel RGB value,
And determines and applies a preset user brightness parameter that specifies a degree of correction of a brightness value corresponding to a color value in the HSV color space according to the determined user color gamut, The brightness value in the brightness table in the preset brightness table corresponding to the color value in the step of converting into HSV color space is applied to the HSV color space, And transforming the brightness value by receiving a brightness value in the step of converting the image pixel RGB value into the HSV color space by applying the brightness value,
Wherein the brightness table stores a brightness value corresponding to each color value of the basic color table. 16. The method of claim 15, wherein transforming the brightness value comprises:
Determining a color section in which the brightness of the color section decreases or increases in a predetermined ratio in the HSV color space as a change section,
And performing brightness correction by applying the following equation (1) to the B value among the image pixel RGB values in the step of converting the HSV color space to the image pixel RGB value in the change interval,
(1)

In Equation (1), B 'is the brightness-corrected B value, B is the B value of the image pixel RGB value when the HSV color space is converted into the image pixel RGB value again, Wherein the brightness table stores a brightness value corresponding to each color value of the basic color table and is set in advance, and wherein the μ is a brightness value corresponding to a color value in the HSV color space as a user brightness parameter Wherein the color gamut is determined according to the user's color gamut as a correction degree. The method according to claim 1,
After the user's hue characteristic determination process,
Converting an image pixel RGB value of an image to be displayed into an HSV color space,
Converting the HSV color space back to the image pixel RGB value,
Determining and applying a preset user brightness parameter that specifies a degree of correction of a brightness value corresponding to a color value in the HSV color space according to the determined user color gamut, and converting the image pixel RGB value into an HSV color space Applying the R value of the converted image pixel RGB values in the step of converting the HSV color space to the image pixel RGB value by applying brightness values in a preset brightness table corresponding to the hue value of the image pixel And transforming the brightness value by receiving a brightness value of converting an RGB value into an HSV color space,
Wherein the brightness table stores a brightness value corresponding to each color value of the basic color table. 18. The method of claim 17, wherein transforming the brightness value comprises:
Wherein the HSV color space is divided into a plurality of color intervals by 60 degrees, and the color interval in which the brightness of the HSV color space decreases or increases at a constant rate is determined as a change interval, And performing brightness correction by applying the following Equation (2) to the R value of the image pixel RGB values in the step of converting the HSV color space to the image pixel RGB value again in the change interval,
(2)

In Equation (2), R 'is the brightness-corrected R value, R is the R value of the image pixel RGB value when the HSV color space is converted into the image pixel RGB value again, Wherein the brightness table stores a brightness value corresponding to each color value of the basic color table and is set in advance, and wherein the μ is a brightness value corresponding to a color value in the HSV color space as a user brightness parameter Wherein the color gamut is determined according to the user's color gamut as a correction degree. 16. The method of claim 15,
Wherein the color conversion method is capable of being set by a user operation. A machine-readable storage medium having recorded thereon a program for executing a color conversion method for a color misregister according to any one of claims 1 to 6 and 8 to 19. A color conversion apparatus for a color tone disorderer,
An input unit for receiving a control command from a user;
A video display unit for displaying an image;
A color characteristic determining unit for collectively controlling each of the functional units and determining a user's color gamut characteristic by inputting or selecting a color blindness type and a color blindness degree selected from a user through the input unit through execution of a preset user's color gamut input menu, And a color conversion unit for converting the entire color range of the HSV color space into a plurality of color ranges and converting the predetermined basic color hue table of the terminal by reducing or enlarging the color range according to the user's color tone characteristics, In the case of enlargement, histogram equalization is applied so that the color values of the basic color table and the converted color values of the basic color table are non-linearly related, and the converted basic color table is applied to the image display unit An image color conversion unit And a controller for controlling the color gamut of the color gamut. 22. The apparatus of claim 21,
Storing a predetermined type of hue abnormality selected by the user among the displayed hue examples,
And displays a plurality of preset images preset according to the degree of color blindness for each of the types of color blindness, and determines the degree of color blindness according to an example image selected by the user and stores the determined degree of blinking. 22. The image processing apparatus according to claim 21,
A basic color table conversion unit for converting and storing a basic color table having preset color information of the terminal according to the color characteristic of the user determined by the color tone characteristics determination unit;
An RGB / HSV converter for converting a video pixel RGB (Red Green Blue) value of an image to be displayed into a HSV (Hue Saturation Value) color space,
A color conversion unit for converting an image color of the image to be displayed using the converted basic color table in the HSV color space;
And an HSV / RGB converter for converting the HSV color space into image pixel RGB values. 24. The apparatus of claim 23, wherein the image color conversion unit
A preset user brightness parameter for specifying a degree of correction of a brightness value corresponding to a hue value in the HSV color space and a preset brightness value table storing a brightness value corresponding to each hue value of the color table And a brightness converting unit for receiving a brightness value when the image pixel RGB value is converted into an HSV color space by applying a B value or an R value of the converted RGB pixel and converting the brightness value, Color conversion device for aberrations.

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