KR100856118B1 - Method and apparatus for compensating color in the display device of a user's terminal through the network - Google Patents

Abstract

The present invention provides a method and apparatus for correcting color of a display device provided in a user terminal more quickly and accurately in order to enable a user with color vision disorder to obtain color information such as a normal person. The present invention automatically diagnoses color vision disorders through the web in order to provide corrected colors to not only the color visually impaired, but also the color-compromised, and generates a color auto-correction palette according to the diagnosis result. Installation on the provided display device allows a user with color vision disorder to see all colors displayed through the display device normally.

Description

METHOD AND APPARATUS FOR COMPENSATING COLOR IN THE DISPLAY DEVICE OF A USER'S TERMINAL THROUGH THE NETWORK}

The present invention relates to a method and apparatus for correcting the color of a display device, and more particularly, to a method and apparatus for correcting the color of a display device provided in a terminal of a user through a network.

As a result of the recent spread of computers, changes in the network environment, expansion of information processing capability of information terminals, and digitization of various multimedia information, anyone can use multimedia easily. Accordingly, the multimedia industry is rapidly developing, and the demand for multimedia contents such as educational multimedia contents, multimedia publishing, games, and digital albums is greatly increasing.

On the other hand, not only televisions and personal computers, but even small information terminals such as laptops, personal digital assistants, and mobile phones are capable of high-definition multimedia processing. As the wireless Internet environment spreads, users are increasingly using multimedia contents. I came across. In the future, mobile information terminal devices are leading to the development of information service user-oriented products in consideration of convenience and mobility. In particular, in order to satisfy the user's convenience, the information terminal considering mobility and portability will have a performance similar to that of a personal computer, and provide a more colorful interface for multimedia service or wireless Internet search, and it is small and light, The smart mobile information terminal is being developed so that various services can be provided.

In this multimedia age, color plays an important role not only as a tool for beautifying the content, but also for a person to recognize the information of the content more easily and effectively. However, as information transmission through color increases and diversifies in the digital age, discomfort for color-impaired people is increasing. These pure functions that color has as an information transmission medium are rather dysfunctional for people with color blindness.

While the normal population enjoys the benefits of this multimedia content, color-impaired people are marginalized from these benefits and lack any practical alternatives for them. In order to solve this problem, there is a need for the development of a color correction system for color blind people.

The number of people with color vision impairments accounts for about 8% of the world's population (10% for men and 1% for women). This is as high as any other obstacle. The reason is that there is currently no medical treatment for color blindness, and parents' color blindness is inherited by their children.

Therefore, so many people always have difficulty seeing color. In particular, when the visual information contained in the content can be identified only by color, it can have very serious consequences. Nevertheless, color is used throughout the society without any consideration of users with color vision impairment in handling multimedia contents such as still images, moving images, web pages, and digital documents. Therefore, there is a need for an effort to provide high-quality contents services that are the same as normal people to members of society who are prone to marginalization in the flood of multimedia contents.

Recently, researches on improving color recognition ability of color blind people have been conducted to recognize color through color display devices. Among them, the World Wide Web Consortium (W3C), the world's standard organization for Internet-based World Wide Web services, provides some guidelines for creating web content for people with color vision impairments. However, these guidelines only provide detailed technical details and do not offer strategic alternatives such as how to create efficient designs and reusable processes.

Microsoft also has a few things to check to help people with color vision impairments when writing software. But Microsoft's suggestion is only a recommendation to be followed during content or software production. Numerous content and software have not been produced in accordance with such recommendations, and content is still being produced regardless of this. In addition, due to technical limitations in content production such as real-time video, color correction services for color-impaired people cannot be performed by prior research methods.

Conventional techniques for helping color-impaired people to better distinguish colors in everyday life include the use of color glasses that filter colors in specific wavelength ranges. Color-impaired people wear color glasses to see objects, so they can better distinguish colors. However, this method has a problem in that the visually impaired person may look different from the normal color, and it is difficult to consider the various severity of color pills.

[Initiation of invention]

Accordingly, an object of the present invention is to provide a method and apparatus for diagnosing color blindness characteristics of a user quickly and easily through a network.

Another object of the present invention is to provide a method and apparatus for correcting color of a display device provided in a user terminal more quickly and accurately in order to enable a user with color vision disorder to obtain color information such as a normal person.

In order to achieve the above object, the present invention automatically diagnoses color vision disorders through the web in order to provide corrected colors to not only those with color sense disorders but also color sense disorders, and generates a color automatic correction palette according to the diagnosis result. Provided are a method and an apparatus for installing a correction palette on a display device provided in a user terminal so that a user with color vision disorder can normally see all colors displayed through the display device.

The present invention provides a method for calibrating the color of a display device provided in a user's terminal through a network, the method comprising: performing a color vision test for the user through the network, and according to a result of the color vision test; Diagnosing a disorder characteristic, generating a color correction palette for the terminal of the user according to the diagnosed color vision disorder characteristic and the characteristic of the terminal of the user, and generating the color correction palette through the network. And providing the color correction palette to the terminal of the user, wherein the generated color correction palette is provided in the form of a computer program for installing the generated color correction palette on the user's terminal.

The color blindness characteristic may be configured to the type of color blindness and the color blindness of the user. The color correction palette may be limited to display by a specific application. The color blindness characteristic can be described by the MPEG standard.

The present invention is to transmit the results of the color vision test to the terminal of the medical professional, receiving the color blindness characteristics of the user diagnosed by the medical professional from the terminal of the medical professional, Comparing the color blindness characteristics diagnosed by the medical professional when the two are different, the method may further include diagnosing the color blindness characteristics diagnosed by the medical professional as the color vision disorder characteristics of the user. The present invention also provides a method of updating a database using color vision disorder characteristics diagnosed by the medical specialist when the color vision disorder characteristics diagnosed automatically by the medical specialist are different. It may further comprise.

Diagnosing the color vision disorder characteristics includes transmitting a result of the color vision test to a terminal of a medical specialist and receiving a color vision disorder characteristic of the user diagnosed by the medical specialist from a terminal of the medical specialist. Can be performed. The method may further include generating a database for storing the relationship between the result of the color vision test and the color blindness characteristic, and the diagnosing the color blindness characteristic may include a result of the color vision test and a result of the color vision test stored in the database. It can be done automatically by comparing.

According to an aspect of the present invention, there is provided an apparatus for correcting color of a display device provided in a terminal of a user through a network, the apparatus comprising: a network connection unit for connecting to the terminal of the user through the network, means for performing color vision inspection for the user; Means for diagnosing color blindness characteristics of the user according to the result of the color vision test, means for generating a color correction palette for the terminal of the user according to the diagnosed color blindness characteristics and the characteristics of the terminal of the user; And means for providing the generated color correction palette to the user's terminal via the network.

The present invention having such a feature has the following advantages. First, since color correction is performed to different degrees according to the characteristics of the user's color blindness, the user may be provided with colors optimized for the user's color blindness. With the development of wired / wireless network infrastructure and the information terminal devices such as computers, laptops, digital TVs, PDAs, mobile phones, hand PCs, etc., becoming more personalized terminal devices, even if the same content is adapted to each user's preferred condition It needs to be converted and delivered. If such a technology is developed, there may be a time when anytime, anywhere can receive personalized content by delivering personal information to an adaptive conversion device.

Secondly, since color correction is performed in a multimedia terminal device of a user with color vision impairment, content producers or designers are not limited to creation of content production.

Third, by performing a computer-based precise color vision test, which was not widely used due to the high accuracy of the test but the long test time, using the computer, color vision test and diagnosis can be made easier and faster. The biggest problem with precision color vision inspection is that the inspection takes a long time. In addition, not many hospitals have expensive equipment, such as color vision, the most known test method. As accurate test methods are not widely used, most test subjects are not familiar with these test methods. Therefore, the accuracy of the test may be reduced due to the user's inexperience in knowing the test method.

Fourth, according to the present invention, it is easy to manage and analyze color vision inspection information, and since the result of the color vision inspection can be transmitted and received on the network with the color correction system, faster and more accurate color correction can be performed.

Hereinafter, with reference to the accompanying drawings will be described an embodiment of the present invention; In the drawings, the same reference numerals are used to indicate the same or similar components or signals.

1 is an overall system configuration diagram of color vision disorder diagnosis and color correction according to an embodiment of the present invention,

2 is an overall flowchart of color correction according to the present invention;

3 is a detailed flowchart of the user authentication step of FIG.

4 is a view illustrating specific contents of user subscription information according to the present invention.

5 is a detailed flowchart of the diagnostic step of FIG.

6 is a detailed flowchart of the precise diagnosis step of the doctor of FIG.

FIG. 7 is a detailed flowchart of generating and providing a color correction palette of FIG. 2;

8 is a detailed flowchart of the color correction step of FIG. 2.

BEST MODE FOR CARRYING OUT THE INVENTION

1 is a block diagram of the overall system of color vision disorder diagnosis and color correction according to the present invention. As shown, the color vision disorder diagnosis and color correction apparatus 100 is connected to the user terminal 102 and the medical professional terminal 104 through a web connection. The color vision disorder diagnosis and color correction apparatus 100 includes a main web server 106, a user authentication unit 108, a color vision inspection unit 110, a precision diagnosis unit 112, a color correction palette generator 112, and a database unit. It consists of 116. The user terminal 102 includes a user web access terminal 118, a color corrector 120, and a display 122.

2 is an overall flowchart of color vision disorder diagnosis and color correction according to the present invention. 1 and 2, the overall operation of the color correction according to the present invention will be described.

First, the user accesses the main web server unit 106 of the color vision disorder diagnosis and color correction apparatus 100 by the user web access terminal unit 118 via a wired / wireless internet network. The user sends and receives information through the main web server unit 106, and the main web server unit 106 mediates the exchange of information between the user terminal 102 and the main parts of the color vision disorder diagnosis and color correction apparatus 100. . When the user accesses the color vision disorder diagnosis and color correction apparatus 100 through the main web server unit 106, the user authentication unit 108 undergoes a user authentication process (S202), and the authenticated user is the color vision inspection unit 110. The color vision test is performed based on the web, and when the user finishes the color vision test, the result of the color vision test is stored in the database unit 116 (S204), and the statistical data stored in the database unit 116 is used for the color vision test result. Automatic diagnosis of color vision disorders is performed (S206). An additional diagnosis process of a doctor (or medical professional) may be performed in the precision diagnosis unit 112 for the detailed diagnosis. The precision diagnosis unit 112 provides the results of the color vision test and the diagnosis of color vision disorder to the terminal 104 of the medical professional via the color vision inspection unit 110 and the main web server unit 106, and the terminal 104 of the medical professional. Get the results of your doctor's overhaul. The result of the color blindness diagnosis is transmitted to the color correction palette generator 114, and the color correction palette generator 114 generates a color correction palette optimized for the characteristics of the user color vision disorder and the characteristics of the user display device 122. The generated color correction palette is provided to the user terminal 102 via the main web server unit 106 (S208). Finally, the color correction palette is installed on the color correction unit 120 of the user terminal 102 and displayed. An operation of correcting color of the device 122 is performed (S210).

3 is a detailed flowchart of the user authentication step (S202) of FIG. For user authentication, a user first inputs an ID and password of a user using an input device (not shown) of the user web access terminal 118 (S302), and the device 100 uses the input ID and password. By checking whether the user is an authenticated user (S304). Since the information on the authenticated user is stored in the database unit 116, the user ID and password stored in the database unit 116 are inquired for user authentication. In the case of the authenticated user 350 as a result of the inquiry, the user personal information is extracted from the database unit 116 (S308), the user authentication is completed, and the extracted user information is transmitted to the color vision inspection unit 110 (S310). In the case of an unauthenticated user, the user inputs user subscription information and stores it in the database unit 116 (S306). Next, the user personal information is extracted from the database unit 116 as in the case of an authenticated user. In step S308, the user authentication is completed and the extracted user information is transmitted to the color vision inspection unit 110 (S310).

4 is a diagram illustrating specific contents of user subscription information according to the present invention. User information required for user registration includes an ID and password 402, basic personal information 404 such as the user's name, gender, age, address, etc., user's vision information 406, There is information 408 about other diseases that the user has, and information 410 of the display device being used by the user. Every user has a unique user ID and password, and the information of the user display device is obtained by manual input of the user or automatically obtained from the user authentication unit 108 with the user's consent.

5 is a detailed flowchart of the color vision examination step S204 and the color vision disorder diagnosis step S206 of FIG. 2. First, a database storing the results of diagnosis of color vision disorders for the results of various color vision tests is generated (S500). The user performs a computer-based precision color vision test through the web (S502), and the color vision test result is stored in the database unit 116 (S504). The color blindness characteristic is automatically diagnosed based on the color vision test result (S506), and the diagnostic result is also stored in the database unit 116 (S508). The automatically diagnosed color blindness characteristic is expressed in a standardized form by the MPEG-21 based color blindness characteristic description method (S510), and similarly stored in the database unit 116 (S512). Since the automatic diagnosis of color vision disorder characteristics in the present invention is based on the statistical characteristics, after performing a precise diagnosis process (S514) by the doctor (or medical professional) as a method for improving the reliability of the diagnosis results, color vision test and color vision Complete the failure diagnosis (S516).

Color vision test step (S502) includes a test that can measure the severity of the color vision disorder as well as the type of color vision disorder. Equation 1 mathematically expresses the result of the precise color vision test.

[Equation 1]

는 n번째 과정의 색각 검사 결과를 나타낸다.Here, X ^k is a vector representing a user test result of the kth color vision test among K different types of color vision tests. Color vision test is divided into N processes,

Represents the color vision test result of the nth process.

The color vision test result of the user is stored in the database unit 116 (S504), and the color blindness characteristic of the user is automatically diagnosed using the color vision test result (S506). The diagnostic result of the color blindness characteristic is a deficiency type and a degree of severity, which is expressed as in Equation 2.

[Equation 2]

는 색각 장애 종류이고,

는 색각 장애 심각성 정도이다. 색각 장애 종류

는 적색맹/적색약의 경우 'Red-deficiency', 녹색맹/녹색약의 경우 'Green-deficiency', 청색맹/청색약의 경우 'Blue-deficiency', 완전-전색맹/부분-전색맹의 경우 'CompleteColorBlindness'로 표현된다. 색각 장애의 심각성 정도는 수치적으로 표현되며 색각 검사 결과에 따라 다르게 표현된다. K개의 서로 다른 종류의 색각 검사는 각기 서로 다른 색각 장애 특성 자동 진단 함수를 가지고 있으며 수학식 3에서와 같이 표현된다.Here, Y ^k is a vector representing the diagnosis result of color vision disorder and has two elements.

Is a type of color vision disorder,

Is the severity of color vision disorder. Color vision disorder type

'Red-deficiency' for red-blind / red medicine, 'Green-deficiency' for green-blind / green medicine, 'Blue-deficiency' for blue-blind / blue medicine, and 'CompleteColorBlindness' for full-blind / partial-blind color blindness. It is expressed as The severity of color vision disorder is expressed numerically and depends on the color vision test result. The K different kinds of color vision tests have different diagnostic characteristics of color vision disorders and are expressed as in Equation 3.

[Equation 3]

는 k 색각 검사의 색각 장애 특성 진단 함수를 나타낸다. 색각 장애 특성 진단 함수는 사용자의 색각 검사 결과 X^k를 데이터베이스내의 통계 자료와 비교 및 분석하여 색각 진단 결과 Y^k를 유도하는 통계적 함수이다.here,

Represents a diagnostic function of color vision disorder characteristics of the k color vision test. The color blindness diagnosis function is a statistical function that derives the color blindness diagnosis result Y ^k by comparing and analyzing the user's color vision test result X ^k with statistical data in the database.

The result of the automatic diagnosis of the color blindness characteristics of the user is expressed in a standardized form by the MPEG-21 based color blindness description method. The standardized MPEG-21 based color blindness characteristic description is as described in Table 1.

TABLE 1

Since the color vision test and automatic diagnosis of color vision disorder characteristics in the present invention are based on the statistical characteristics, a method for enhancing the reliability of the diagnosis result may include a remote precise diagnosis procedure of a doctor. FIG. 6 is a detailed flowchart of the detailed diagnosis step S514 of the doctor of FIG. 5.

By having a doctor perform the user's color vision test result online regardless of time, it has the advantage of minimizing unnecessary waste of user and doctor. For the precise diagnosis of the doctor, the doctor first to perform the diagnosis is authenticated whether or not possessing the test authority by accessing the user authentication unit 108 of the device 100 (S602). After the authentication is completed, the database unit 116 loads the color vision test result of the user who needs a precise diagnosis by the doctor (S604). The doctor precisely diagnoses the color vision test result of the user (S606), and after reviewing the result of the automatic diagnosis of color vision disorder using the database unit 116, stores the detailed diagnosis result in the database unit 116 (S608). If the result of the detailed diagnosis is different from the result of the automatic diagnosis, the result of describing the color vision disorder characteristic of the user is changed based on the result of the precision diagnosis, and the changed color vision disorder characteristic is stored in the database unit 116 (S610).

After completing the color vision test and diagnosing the color vision disorder, the user accesses the color correction palette generator 114 through the main web server unit 106 to transmit and install the color correction palette optimized for the color vision disorder characteristics of the user and the display device. do. FIG. 7 is a detailed flowchart of generating and providing a color correction palette of FIG. 2.

In operation S702, the color correction palette generator 114 receives color gamut impairment characteristics of the user and display device characteristics of the user terminal stored in the database unit 116. Based on these two characteristics, a color correction palette for correcting the color of the basic palette of the display device provided in the user terminal is generated (S704). The palette is generally expressed as in Equation 4.

[Equation 4]

Here, ^H in the palette Palette ^H represents the display device characteristics of the user terminal. And A = { R, G, B } is the original color and A ' = { R', G ', B' } is the color represented by Palette ^H. The original color A is represented as color A 'dithered by the color palette function Palette ^H. Color A 'is the color closest to color A for a given display device characteristic H.

The final color perception characteristic of a user with color vision disorder responds in combination with the characteristics of the user's display device as well as the color vision abnormality of the user. Recognition of the wavelength of the user's color is made in the three cone cells, the color characteristics can be expressed in the L, M, S space respectively. If color is perceived by a display device such as a monitor, the monitor's R, G, and B characteristics must be considered. First, the amount of recognition in the human L, M, S cone cells with respect to the wavelength characteristics of the display device is expressed by the following equation (5).

[Equation 5]

If the characteristics of the color vision impaired person is input here, the response of the cone cells is different from that of the normal person. If the degree of color vision disorder is y _d ^k, the response of the cone cells may be expressed by p (y _d ^k ) and q (y _d ^k ) as shown in Equation 6 below. Equation 6 shows the abnormality of the L cone of the red angle disorder. Meanwhile, M and S cone cells are normal as in Equation 5.

[Equation 6]

Here, p _L (y _d ^k ) represents the abnormality of the response size of the L cone cells, q _L (y _d ^k ) represents the abnormal response to the wavelength of the L cone cells.

라면 M 원추세포의 반응은 다음 수학식 7과 같이 표현된다. L 과 S 원추세포는 수학식 5와 같이 정상이다.The next green angle disorder

The response of the ramen M cone cells is expressed as in Equation 7 below. L and S cone cells are normal as shown in Equation 5.

[Equation 7]

Here, p _M (y _d ^k ) represents the abnormality of the response size of the M cone cells, q _M (y _d ^k ) represents the abnormal response to the wavelength of the M cone cells.

라면 S 원추세포의 반응은 다음 수학식 8과 같이 표현된다. L 과 M 원추세포는 수학식 5와 같이 정상이다.Then that blue angle disorder

The response of the ramen S cone is expressed by Equation 8 below. L and M cone cells are normal as in Equation 5.

[Equation 8]

Here, p _S (y _d ^k ) represents the abnormality of the response size of the S cone cells, q _S (y _d ^k ) represents the abnormal response to the wavelength of the S cone cells.

인 경우, 팔레트 색 보정은 다음 수학식 9와 같이 표현된다.Using Equations 6 to 8, a color correction palette for color vision disorders is generated as follows. First of all, with red angle disorder

In this case, the palette color correction is expressed as in Equation 9 below.

[Equation 9]

인 경우, 팔레트 색상 보정은 다음 수학식 10과 같이 표현된다.Next is the green angle disorder

In this case, the palette color correction is expressed as in Equation 10 below.

[Equation 10]

인 경우, 팔레트 색상 보정은 다음 수학식 11과 같이 표현된다.Next is the blue angle disorder

In this case, the palette color correction is expressed as in Equation 11 below.

[Equation 11]

The final palette color correction is represented by the following equation (12).

[Equation 12]

Here, the palette CVDPalette ^H is a color correction palette for color blind people. The color displayed using the color correction palette is expressed as in Equation 13.

[Equation 13]

Here, A _C represents the color dithered using the color correction palette.

As described above, when the color correction palette is generated according to the characteristics of the user's color vision disorder and the display device, the user installs a color correction palette installation program that the user can install on his terminal.

Next, the color displayed on the user display device is corrected using the color correction palette installed in the color corrector 120 of the user terminal 102. 8 is a detailed flowchart of the color correction step of FIG. 2.

The user installs the received color correction palette installation program in the user's terminal (S802). The user may input his or her personal color correction preference (S804), and the user may finely adjust the degree of color correction through the installed control program (S806). The user may set a color correction area among the colors displayed on the display device (S808). If the color correction of the system palette controlling the display device is selected (S810), all color information displayed on the display device is color corrected (S812). If the palette color correction of a specific application is selected (S810), only color information of the specific application area is color corrected (S814).

The embodiments described herein are merely intended to enable those skilled in the art to easily understand and practice the present invention, and are not intended to limit the scope of the present invention. Therefore, those skilled in the art should note that various modifications or changes can be made to the above embodiments within the scope of the present invention. The scope of the invention is defined in principle by the claims that follow.

According to the present invention as described above, the color blindness test for the user with color blindness through the web, using the test result automatically describes the color blindness characteristics of the user, using the described color blindness characteristics Colors of all or a part of a user display device with a disability may be corrected to allow a user with a color blindness to see the same color as a normal person.

Claims (16)

In the method for correcting the color of the display device provided in the user's terminal via a network, Performing a color vision test for the user through the network; Diagnosing color blindness characteristics of the user according to a result of the color vision test; Generating a color correction palette for the terminal of the user according to the diagnosed color blindness characteristic and the characteristic of the terminal of the user; Providing the generated color correction palette to the user's terminal through the network; The providing of the color correction palette is provided in the form of a computer program for installing the generated color correction palette on the user's terminal. The method of claim 1, The color vision test is a color correction method of the display device, characterized in that implemented on the basis of the World Wide Web (WWW). delete The method of claim 1, The color blindness characteristic is a color correction method of the display device, characterized in that made of the user's color blindness and the degree of color blindness. The method of claim 1, Creating a database that stores a relationship between the results of color vision examination and color vision disorder characteristics, The diagnosing of the color blindness characteristic is automatically performed by comparing the result of the color vision test with the result of the color vision test stored in the database. The method of claim 5, Transmitting a result of the color vision test to a terminal of a medical specialist and receiving a color vision disorder characteristic of the user diagnosed by the medical specialist from a terminal of the medical specialist; Diagnosing the color blindness characteristic diagnosed by the medical specialist as the color blindness characteristic of the user when the automatic diagnosis of the color blindness characteristic and the color vision disorder characteristic diagnosed by the medical specialist are different. Color correction method of the display device further comprising. The method of claim 6, Updating the database by using the color blindness characteristic diagnosed by the medical professional when the color blindness characteristic automatically diagnosed using the database and the color vision disorder characteristic diagnosed by the medical professional are different. Color correction method of the display device, characterized in that. The method of claim 1, Diagnosing the color blindness characteristics Transmitting a result of the color vision test to a terminal of a medical professional; The process of receiving the color vision disorder characteristics of the user diagnosed by the medical professional from the terminal of the medical professional Color correction method of the display device comprising a. The method of claim 1, The color correction palette may be limited to a display by a specific application. The method of claim 1, The color blindness characteristic is described by the MPEG standard. In the device for correcting the color of the display device provided in the user's terminal via a network, A network connection unit for connecting with the user terminal through the network; Means for performing a color vision test for the user; Means for diagnosing color blindness characteristics of the user according to the color vision test result; Means for generating a color correction palette for the terminal of the user according to the diagnosed color blindness characteristic and the characteristic of the terminal of the user; Means for providing the generated color correction palette to the user's terminal via the network; The generated color correction palette is provided to the user's terminal in the form of a computer program for installing the color correction palette on the user's terminal. The method of claim 11, The color vision inspection is a color correction device of the display device, characterized in that implemented on the basis of the World Wide Web (WWW). delete The method of claim 11, The color blindness characteristic is a color correction device of the display device, characterized in that the color blindness of the user and the degree of color blindness. The method of claim 11, Further includes a database that stores the relationship between the results of color vision examination and color vision disorder characteristics, The diagnosis of the color blindness characteristic is automatically performed by comparing the result of the color vision test with the result of the color vision test stored in the database. The method of claim 11, And said color blindness characteristic is described by the MPEG standard.

Images