CN118190164A

CN118190164A - Display evaluation method, display evaluation device, electronic equipment and storage medium

Info

Publication number: CN118190164A
Application number: CN202211600651.5A
Authority: CN
Inventors: 焦智伟
Original assignee: Beijing Xiaomi Mobile Software Co Ltd
Current assignee: Beijing Xiaomi Mobile Software Co Ltd
Priority date: 2022-12-12
Filing date: 2022-12-12
Publication date: 2024-06-14

Abstract

The disclosure relates to a display evaluation method, a display evaluation device, an electronic device and a storage medium, wherein the display evaluation method comprises the following steps: acquiring first optical data respectively corresponding to a plurality of colors displayed by first display equipment; determining matching optical data of a matching color corresponding to a candidate color, wherein the matching color has the same tristimulus value as the corresponding candidate color when displayed by the second display device and the corresponding same observer when displayed by the first display device, and the candidate color is any one of the plurality of colors; based on the first optical data corresponding to each candidate color and the matching optical data of the matching color corresponding to each candidate color, a target parameter for evaluating a display difference between the first display device and the second display device is determined. By adopting the method, the accuracy of the display difference of the display equipment obtained by detection to the observer can be improved.

Description

Display evaluation method, display evaluation device, electronic equipment and storage medium

Technical Field

The disclosure relates to the technical field of screen display, and in particular relates to a display evaluation method, a display evaluation device, electronic equipment and a storage medium.

Background

The new display technology is continuously presented, such as CRT, laser display, LCD and OLED, because the light emitting modes of different display technologies are different, the spectrum energy distribution of primary colors is greatly different, so that the metameric theory fails, and the metameric theory means that no matter how the spectrum shape of the mixed colors and the primary colors forming the mixed colors are, the mixed colors with the same chromaticity should be matched in color appearance, which also results in that the same colors are displayed on different display devices, the difference of chromaticity values measured by the instrument is very small, i.e. the chromatic aberration is very small, but the human eyes can see obvious difference, i.e. the objective value calculated by the chromatic aberration is not matched with the subjective visual feeling, so that the display difference of the display device to the observer cannot be accurately assessed by using the objective value.

Disclosure of Invention

In order to overcome the problems in the related art, the present disclosure provides a display evaluation method, apparatus, electronic device, and storage medium.

According to a first aspect of an embodiment of the present disclosure, there is provided a display evaluation method including:

Acquiring first optical data respectively corresponding to a plurality of colors displayed by first display equipment;

Determining matching optical data of a matching color corresponding to a candidate color, wherein the matching color has the same tristimulus value as the corresponding candidate color when displayed by the second display device and the corresponding same observer when displayed by the first display device, and the candidate color is any one of the plurality of colors;

Based on the first optical data corresponding to each candidate color and the matching optical data of the matching color corresponding to each candidate color, a target parameter for evaluating a display difference between the first display device and the second display device is determined.

Optionally, the optical data includes spectral data, and determining the target parameter based on the first optical data corresponding to each candidate color and the matching optical data of the matching color corresponding to each candidate color includes:

determining a first chrominance value corresponding to each candidate color based on the first spectral data corresponding to each candidate color, and determining a second chrominance value corresponding to each matching color based on the matching spectral data corresponding to each matching color;

the target parameter is determined based on the first chrominance value corresponding to each candidate color and the second chrominance value of the matching color corresponding to each candidate color.

Optionally, the determining the matching optical data of the matching color corresponding to the candidate color includes:

acquiring second optical data respectively corresponding to the multiple colors displayed by a second display device;

And performing color matching processing on the candidate colors displayed by the second display device based on a plurality of color matching functions, first optical data corresponding to the candidate colors and second optical data corresponding to the candidate colors, so as to obtain matching optical data of the candidate colors corresponding to the matching colors under each color matching function.

Optionally, the first optical data includes first spectral data, the second optical data includes second spectral data, the second spectral data includes primary spectral data of three primary colors under maximum brightness, and the performing color matching processing on the candidate color displayed by the second display device based on a plurality of color matching functions, the first optical data corresponding to the candidate color, and the second optical data corresponding to the candidate color to obtain matching optical data of the candidate color corresponding to a matching color under each color matching function includes:

Determining a first tristimulus value matrix of first spectral data corresponding to a target color matching function based on the first spectral data corresponding to the candidate color and the target color matching function, the target color matching function being any one of the plurality of color matching functions;

Determining a second tristimulus value matrix of second spectrum data corresponding to a target color matching function based on the primary spectrum data of the three primary colors corresponding to the candidate colors under the maximum brightness, the target color matching function and the matching adjustment parameter;

under the condition that the first tristimulus value matrix is equal to the second tristimulus value matrix, solving to obtain the matching adjustment parameters corresponding to the target color matching function;

And obtaining the matching spectrum data of the matching color of the candidate color under the target color matching function based on the matching adjustment parameters corresponding to the target color matching function and the primary spectrum data of the three primary colors corresponding to the candidate color under the maximum brightness, wherein the matching optical data comprises the matching spectrum data.

Optionally, the method further comprises:

generating a model by using the individual color matching functions based on a preset age range and a preset visual angle value, and generating a preset number of individual observer color matching functions;

Based on the perception response condition of each individual observer color matching function to the color, clustering the preset number of individual observer color matching functions to obtain a plurality of classified observer color matching functions, wherein the plurality of classified observer color matching functions are used as the plurality of color matching functions.

Optionally, the matching color corresponding to each candidate color is multiple, and the determining the target parameter based on the first chromaticity value corresponding to each candidate color and the second chromaticity value of the matching color corresponding to each candidate color includes:

determining the color difference of the second chromaticity value of each matching color corresponding to the candidate color and the first chromaticity value corresponding to the candidate color based on a preset color difference algorithm;

based on the weight corresponding to each matching color, carrying out weighted summation on the color differences corresponding to each matching color to obtain intermediate data corresponding to the candidate color;

and carrying out averaging treatment on the intermediate data corresponding to each candidate color in the plurality of colors to obtain the target parameter.

Optionally, the first optical data includes first spectral data, the matching optical data includes matching spectral data, the determining a first chromaticity value corresponding to each candidate color based on the first optical data corresponding to each candidate color, and determining a second chromaticity value corresponding to each matching color based on the matching spectral data corresponding to each matching color includes:

for each candidate color, determining the product of a standard observer color matching function and first spectrum data corresponding to the candidate color as a first color value corresponding to the candidate color;

for each matching color, determining the product of the standard observer color matching function and the matching spectrum data corresponding to the matching color as a second chromaticity value corresponding to the matching color.

Optionally, the color gamut of the first display device is smaller than the color gamut of the second display device.

According to a second aspect of the embodiments of the present disclosure, there is provided a display evaluation device including:

The acquisition module is configured to acquire first optical data respectively corresponding to a plurality of colors displayed by the first display device;

A first determination module configured to determine matching optical data of a matching color corresponding to a candidate color, wherein the matching color has the same tristimulus value for the same observer as the corresponding candidate color when displayed by the first display device, the candidate color being any one of the plurality of colors;

And a second determination module configured to determine a target parameter for evaluating a display difference between the first display device and the second display device based on the first optical data corresponding to each of the candidate colors and the matching optical data of the matching color corresponding to each of the candidate colors.

According to a third aspect of embodiments of the present disclosure, there is provided an electronic device, comprising:

A memory having a computer program stored thereon;

A processor for executing the computer program in the memory to implement the steps of the display evaluation method provided in the first aspect of the present disclosure.

According to a fourth aspect of embodiments of the present disclosure, there is provided a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the steps of the display assessment method provided by the first aspect of the present disclosure.

The technical scheme provided by the embodiment of the disclosure can comprise the following beneficial effects: the method comprises the steps of determining matching optical data of matching colors corresponding to candidate colors by acquiring first optical data respectively corresponding to a plurality of colors displayed by a first display device, and determining target parameters for evaluating display differences between the first display device and a second display device based on the first optical data respectively corresponding to each candidate color and the matching optical data of the matching colors corresponding to each candidate color, so that accuracy of display differences of the detected display device to an observer can be improved.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure.

Fig. 1 is a flowchart illustrating a display evaluation method according to an exemplary embodiment.

Fig. 2 is a block diagram showing a display evaluation apparatus according to an exemplary embodiment.

Fig. 3 is a schematic diagram of an electronic device according to an exemplary embodiment.

Detailed Description

Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as detailed in the accompanying claims.

It should be noted that, all actions of acquiring signals, information or data in the present application are performed under the condition of conforming to the corresponding data protection rule policy of the country of the location and obtaining the authorization given by the owner of the corresponding device.

Before describing the embodiments of the present disclosure in detail, some noun concepts related to the embodiments of the present disclosure will be described, in which:

The color matching function (Color Matching Function, CMF) is the number of red, green and blue primary color lights required for matching each monochromatic light in the isoelectric spectrum, and is the basic data of current color measurement and calculation. The color matching function is the tristimulus value required to match each spectral color, also referred to as the spectral tristimulus value.

The international commission on illumination (CIE) has developed a color matching function for crowd averaging under different viewing angles, i.e. a standard observer color matching function, or referred to as an average observer color matching function, which is widely used in color measurement and calculation and is used to characterize the average color visual characteristics of human eyes.

Furthermore, considering that there is a large difference in visual perception of different observers among observers whose color vision is normal, it is not possible to express the visual specificities of the different observers entirely with the average observer color matching function, and thus, CIE also suggests individual observer color matching functions for quantifying the visual characteristics of the human eye colors of the different observers.

The classified observer color matching function is a color matching function obtained by carrying out limited classification on the collected individual color matching functions and is used for representing color matching feelings of observers with the same visual characteristics.

Tristimulus values, in color matching, matching of a certain color is completed with a certain number of three primary colors. The amount of three primary colors required to match a color is called the tristimulus value of that color. R, G, B in the color equation is the tristimulus value, and thus, the tristimulus value may also be referred to as a tristimulus value matrix, which is a 3×1 matrix. Tristimulus values are measured not in physical units but in colorimetry units.

The observer refers to a person who views the color displayed by the electronic device, and in the embodiment of the disclosure, the observer may be a real observer or a simulated observer when simulated colors are matched.

Fig. 1 is a flowchart illustrating a display evaluation method according to an exemplary embodiment, and as shown in fig. 1, the display evaluation method may be used in an electronic device, for example, may include an electronic device having a data calculation processing function such as a mobile phone, a notebook, a tablet computer, a desktop computer, and the like, and the display evaluation method includes:

s110, acquiring first optical data respectively corresponding to a plurality of colors displayed by the first display device.

In the embodiment of the disclosure, the first spectral data respectively corresponding to the multiple colors displayed by the first display device may be, for example, white, red, green, blue three-way, green, blue, yellow, skin, sky blue, and grass green spectral data of the first display device.

And S120, determining matching optical data of a matching color corresponding to the candidate color, wherein the matching color has the same tristimulus value corresponding to the same observer when displayed by the second display device and the corresponding candidate color is any one of a plurality of colors when displayed by the first display device.

In the embodiment of the present disclosure, after the first optical data corresponding to each of the multiple colors displayed by the first display device is acquired, for each candidate color of the multiple colors, the optical data of the corresponding matching color, that is, the matching optical data, may be further determined.

In some embodiments, in order to further improve the accuracy of the subsequent display difference detection, a plurality of observers may be set, so that, corresponding to each candidate color, a matching color may be different under the visual perception of different observers, so that each candidate color may correspond to a plurality of matching colors, that is, corresponding to each observer, a matching color corresponding to the candidate color may be obtained respectively. The observer may be a real observer or a simulated observer when the simulated colors are matched.

There are various ways of determining the matching optical data of the matching color corresponding to the candidate color.

In some embodiments, the respective matching colors corresponding to the candidate colors may be determined by subjective observation experiments performed by one or more real observers, and then the optical data of the respective matching colors displayed by the second display device, that is, the matching optical data, is measured. That is, the candidate colors are displayed in the first display device and the second display device, the intensities of the three primary colors of the second display device are adjusted by the subjective visual perception of the real person observer, so that the subjective visual perception of the real person observer on the adjusted color displayed by the second display device is the same as that of the candidate colors displayed by the first display device, thereby obtaining one matching color corresponding to the candidate colors, and in the same manner, a plurality of matching colors corresponding to the candidate colors can be obtained by different real person observers. After a plurality of matching colors corresponding to the candidate colors are displayed on the second display device, matching optical data of each matching color corresponding to the candidate colors can be acquired respectively.

In some embodiments, the subjective visual perception of a human observer may be represented by a spectral tristimulus value. Therefore, in other embodiments, in order to reduce the difficulty of obtaining the matching spectrum data, the matching color corresponding to the candidate color may be determined by simulating the color matching, that is, when the matching color is displayed on the second display device, the matching color and the corresponding candidate color have the same spectrum tristimulus value when the corresponding candidate color is displayed on the first display device, in this case, the matching color corresponding to the candidate color is determined first, and then the matching optical data of the matching color corresponding to the candidate color is further determined. This process is described in detail in the following examples, with reference to the following examples.

And S130, determining target parameters based on the first optical data corresponding to each candidate color and the matching optical data of the matching color corresponding to each candidate color, wherein the target parameters are used for evaluating the display difference between the first display device and the second display device.

In the embodiment of the disclosure, after the first optical data corresponding to each candidate color and the matching optical data of the matching color corresponding to each candidate color are obtained, the target parameter for evaluating the display difference between the first display device and the second display device may be determined based on the first optical data corresponding to each candidate color and the matching optical data of the matching color corresponding to each candidate color.

In the embodiment of the disclosure, the target parameter characterizes a display difference between the first display device and the second display device for an observer, and at this time, the target parameter may also characterize a metamerism degree between the first display device and the second display device. The larger the target parameter is, the larger the difference of subjective visual feeling or spectrum tristimulus values for the same observer is when the first display device and the second display device display the same color. And the smaller the target parameter, the smaller the difference in subjective visual perception or spectral tristimulus values for the same observer when the first display device and the second display device are displaying the same color. Therefore, the difference of subjective visual perception of the observer when the first display device and the second display device display the same color can be accurately reflected in an objective numerical form through the target parameters, so that the first display device or the second display device can be subjected to color correction later.

By adopting the method, the first optical data respectively corresponding to the multiple colors displayed by the first display device is acquired, the matching optical data of the matching colors corresponding to the candidate colors are determined, and the target parameters are determined based on the first optical data respectively corresponding to each candidate color and the matching optical data of the matching colors corresponding to each candidate color and are used for evaluating the display difference between the first display device and the second display device. The target parameters are further calculated through the candidate colors with the same visual perception and the optical data of the matched colors, so that the calculated target parameters can be more attached to subjective visual perception of an observer when the display difference of the display equipment is evaluated, and compared with the subjective visual perception of a color difference evaluation person of the colors displayed by the two display equipment, the subjective visual perception of the observer is more accurate, and the accuracy of the display equipment obtained by detection on the display difference of the observer can be improved through the method of the embodiment of the disclosure.

In some embodiments, the optical data may include spectral data, in which case determining the target parameter based on the respective first optical data for each candidate color and the matching optical data for the matching color for each candidate color includes:

The first chromaticity value corresponding to the candidate color may be understood as a chromaticity value corresponding to the first display device when displaying the candidate color, and the second chromaticity value corresponding to the matching color may be understood as a chromaticity value corresponding to the second display device when displaying the matching color.

It should be noted that, since the matching color corresponding to the candidate color may be obtained by simulating the color matching, the matching color corresponding to the candidate color does not necessarily need to be actually displayed in the second display device.

In an embodiment of the disclosure, a corresponding first chromaticity value may be determined for each candidate color, for example, for red, a corresponding first chromaticity value may be determined when the first display device displays red, and for blue, a corresponding first chromaticity value may be determined when the first display device displays blue.

Further, for each matching color, a corresponding second chrominance value may be determined. Wherein, since the candidate color may correspond to one or more matching colors, when the candidate color corresponds to one matching color, the second chromaticity value of the matching color corresponding to the candidate color is one, and when the candidate color corresponds to a plurality of matching colors, the second chromaticity value of the matching color corresponding to the candidate color is a plurality.

Taking the plurality of second chromaticity values of the matching color corresponding to the candidate color as an example, for the candidate color red, the plurality of second chromaticity values corresponding to the second display device when displaying red may be determined, and for blue, the plurality of second chromaticity values corresponding to the second display device when displaying blue may be determined.

In the embodiment of the disclosure, after determining the first chromaticity value corresponding to each candidate color and the second chromaticity value of the matching color corresponding to each candidate color, the target parameter characterizing the display difference between the first display device and the second display device may be further determined based on the first chromaticity value corresponding to each candidate color and the second chromaticity value of the matching color corresponding to each candidate color.

In some embodiments, considering that the second display device needs to match the candidate color displayed by the first display device, the color gamut range of the first display device is smaller than that of the second display device, that is, the first display device and the second display device in the display evaluation method of the embodiment of the present disclosure may be set by the color gamut ranges of the two display devices. For example, when detecting a display difference between the LCD display device and the OLED display device, since the color gamut range of the OLED display device is larger than that of the LCD display device, the LCD display device may be determined as the first display device and the OLED display device may be determined as the second display device.

In combination with the foregoing, in order to reduce difficulty in obtaining the matching optical data, it is also possible to determine the matching color corresponding to the candidate color by simulating the color matching, and further determine the matching optical data of the matching color corresponding to the candidate color. In this case, step S120 in the embodiment of the present disclosure, determining the matching optical data of the matching color corresponding to the candidate color may include the steps of:

Acquiring second optical data respectively corresponding to a plurality of colors displayed by a second display device;

And performing color matching processing on the candidate colors displayed by the second display device based on the plurality of color matching functions, the first optical data corresponding to the candidate colors and the second optical data corresponding to the candidate colors, so as to obtain matching optical data of the candidate colors corresponding to the matching colors under the color matching functions.

In some embodiments, the optical data may be spectral data.

In the embodiment of the disclosure, in addition to acquiring the first optical data respectively corresponding to the multiple colors displayed by the first display device, the second optical data respectively corresponding to the multiple colors displayed by the second display device may be further acquired. Wherein the plurality of colors displayed by the first display device are the same as the plurality of colors displayed by the second display device.

In the foregoing example, in the case where the first optical data respectively corresponding to the plurality of colors displayed by the first display device may be, for example, white, red, green, blue three-channel and cyan, magenta, yellow, flesh color, sky blue, grass green optical data of the first display device, the second optical data respectively corresponding to the plurality of colors displayed by the second display device may be, for example, white, red, green, blue three-channel and cyan, magenta, yellow, flesh color, sky blue, grass green optical data of the second display device.

In order to further improve the accuracy of the display evaluation method of the embodiment of the disclosure, target color temperatures and luminous intensities of two display devices can be set, and the startup preheating device achieves stable display. That is, the color temperatures and the luminous intensities of the first display device and the second display device are set to be consistent, for example, the color temperatures of the first display device and the second display device are set to 6500K, the screen brightness is set to 110nit, when the first display device and the second display device are started up without screen extinction for 30 minutes and achieve stable display, the optical data of the white field, the red, the green, the blue three channels and the cyan, the top yellow, the skin color, the sky blue and the grass green of the first display device are measured to respectively obtain the first optical data corresponding to ten candidate colors, and the optical data of the white field, the red, the green, the blue three channels and the cyan, the top yellow, the skin color, the sky blue and the grass green of the second display device are measured to respectively obtain the second spectrum data corresponding to the ten candidate colors.

In the embodiment of the disclosure, in order to further improve the accuracy of the display evaluation method, a plurality of color matching functions may be selected, so as to obtain a plurality of matching colors corresponding to each candidate color, and specifically, color matching processing may be performed on each candidate color displayed by the second display device based on the plurality of color matching functions, the first optical data corresponding to the candidate color, and the second optical data corresponding to the candidate color, so that the matching optical data of the matching color corresponding to each candidate color under each color matching function may be obtained.

The color matching process may be understood as a process of simulating the visual perception of the first display device and the second display device by a real observer through a color matching function, and adjusting the intensity of the three primary colors of the candidate colors displayed by the second display, so that the adjusted colors displayed by the second display and the candidate colors displayed by the first display device have the same visual perception when the real observer simulated by the color matching function looks. By means of the color matching function, the cone response of a real human observer can be simulated.

In some embodiments, the first optical data includes first spectral data, the second optical data includes second spectral data, the second spectral data includes primary spectral data of three primary colors at maximum brightness, and the color matching process is performed on the candidate color displayed by the second display device based on the plurality of color matching functions, the first optical data corresponding to the candidate color, and the second optical data corresponding to the candidate color, so as to obtain matching optical data of the candidate color corresponding to a matching color under each color matching function, and the method may include the following steps:

determining a first tristimulus value matrix of the first spectrum data corresponding to the target color matching function based on the first spectrum data corresponding to the candidate color and the target color matching function, wherein the target color matching function is any one color matching function of a plurality of color matching functions;

determining a second tristimulus value matrix of second spectrum data corresponding to the target color matching function based on the primary spectrum data of the three primary colors corresponding to the candidate colors under the maximum brightness, the target color matching function and the matching adjustment parameter;

under the condition that the first tristimulus value matrix is equal to the second tristimulus value matrix, solving to obtain a matching adjustment parameter of a corresponding target color matching function;

And obtaining the matching spectrum data of the matching color of the candidate color under the target color matching function based on the matching adjustment parameter of the corresponding target color matching function and the second spectrum data corresponding to the candidate color, wherein the matching optical data comprises the matching spectrum data.

In some embodiments, for each color matching function, the product of the first spectral data corresponding to a certain candidate color and the target color matching function may be determined as a first tristimulus value matrix of the first spectral data corresponding to the target color matching function. The process can be expressed by the following formula:

XYZ_i,ref＝MF_i×S_ref

Wherein XYZ _i,ref represents the first tristimulus value matrix of the first spectral data corresponding to the target color matching function, which may also be referred to as the first chromaticity value matrix, i.e. a3×1 matrix, CMF _i represents the i-th target color matching function, from 380nm to 780nm, with a step size of 1nm, and s _ref represents the first spectral data corresponding to the candidate color, which may be, for example, a 401×1 spectral matrix.

Further, in some embodiments, for each color matching function, a second tristimulus value matrix of second spectral data corresponding to the target color matching function may be determined based on the primary spectral data of the three primary colors corresponding to the candidate colors at maximum brightness, the target color matching function, and the matching adjustment parameter. The process can be expressed by the following formula:

XYZ_i,matched＝MF_i×S_match,max×R

Wherein XYZ _i,matched represents a second tristimulus value matrix of the second spectral data corresponding to the target color matching function, which may also be referred to as a second chromaticity value matrix, S _match,max represents native spectral data of the three primary colors corresponding to the candidate colors at the maximum brightness, R represents a matching adjustment parameter corresponding to the target color matching function, and is a scalar matrix for changing intensities of the three primary colors to match the corresponding candidate colors.

In the embodiment of the disclosure, in order to make the adjusted color displayed by the second display and the candidate color displayed by the first display device have the same visual perception process when a real observer simulated by the target color matching function looks, the first tristimulus value matrix and the second tristimulus value matrix may be set to be equal, so that the matching adjustment parameter corresponding to the target color matching function may be solved by matrix inversion. The process can be expressed by the following formula:

R＝(CMF_i×S_match,max)^-1×CMF_i×S_ref

In the embodiment of the disclosure, after the matching adjustment parameter corresponding to the target color matching function is obtained, the matching spectrum data of the matching color of the candidate color corresponding to the target color matching function can be further obtained based on the matching adjustment parameter corresponding to the target color matching function and the primary spectrum data of the three primary colors corresponding to the candidate color under the maximum brightness.

In some embodiments, the product of the matching adjustment parameter corresponding to the target color matching function and the native spectral data of the three primary colors corresponding to the candidate colors at the maximum brightness may be determined as the matching spectral data of the matching colors under the target color matching function. The process can be expressed by the following formula:

S_matched＝S_match,max×R

wherein S _matched represents matching spectrum data of matching colors.

It will be appreciated that the target color matching function is any one of a plurality of color matching functions, and thus, in the same manner, matching spectrum data of candidate colors corresponding to matching colors under the respective color matching functions can be obtained.

In some implementations, to obtain the target color matching function, the method of the embodiments of the present disclosure may further include the steps of:

Based on the perception response condition of each individual observer color matching function to the color, clustering is carried out on the preset number of individual observer color matching functions to obtain a plurality of classified observer color matching functions, and the plurality of classified observer color matching functions are used as a plurality of color matching functions.

In the embodiment of the disclosure, the color matching function generation model of the individual observer can be utilized to generate the color matching functions of the preset number of individual observers; for example, a predetermined age range and a predetermined viewing angle value may be given, and the individual observer color matching function generation model is used to generate a predetermined number of individual observer color matching functions using monte carlo simulation, wherein the generated individual observer color matching functions may represent deviations between individual observers and standard observers, wherein a standard observer is an observer of the standard observer color matching function simulation given in the respective standard version of the international commission on illumination CIE, the individual observer being understood as an observer of the individual observer color matching function simulation.

In some embodiments, the individual observer color matching function generation model may be, for example, a generation model in versions CIE1931, CIE1964, CIE2006, and the like.

In the embodiment of the disclosure, the individual observer color matching function generating model can be additionally added with 8 physiological parameters on the basis of the generating model in the CIE2006 version so as to expand the generating model, wherein the deviation range of the additionally added 8 physiological parameters is determined by standard deviation.

In some embodiments, if the first display device and the second display device are an LCD display device and an OLED display device, respectively, the color matching function generated by the generation model in CIE1931 and CIE1964 versions is not well adapted to the color matching process between the LCD display device and the OLED display device, so that the color matching function generation model of the individual observer is preferably the generation model in CIE2006 version, so that the accuracy of the color matching process between the LCD display device and the OLED display device can be improved.

In some embodiments, the preset viewing angle value may be determined according to the type or use of the electronic device, for example, for electronic devices such as a mobile phone and a tablet, the viewing angle is relatively small when the user uses the electronic device, so that 2 ° may be selected as the preset viewing angle value, and for electronic devices such as a large display screen of a mall or a television, the viewing angle is relatively large when the user uses the electronic device, so that 10 ° may be selected as the preset viewing angle value.

In the embodiment of the disclosure, after obtaining the color matching functions of each individual observer, clustering may be performed on a preset number of color matching functions of each individual observer based on the perceived response of each individual observer to the color, where the perceived response of each individual observer color matching function in each clustered result obtained by clustering is similar to the color, and then, according to each clustered result, the classified observer color matching function corresponding to each clustered result may be further obtained, and then, each classified observer color matching function may be further used as one color matching function during color matching processing.

The method comprises the steps of obtaining a classified observer color matching function corresponding to each clustering result according to each clustering result, wherein the classified observer color matching function corresponding to each clustering result can be obtained by randomly selecting an individual observer color matching function from the individual observer color matching functions included in each clustering result as the classified observer color matching function corresponding to the clustering result, and determining one classified observer color matching function corresponding to the clustering result based on the individual observer color matching function included in each clustering result according to a certain rule. The rule for determining the color matching function of one classified observer corresponding to each clustering result based on the color matching function of each individual observer included in each clustering result may refer to the related art, and will not be described herein.

In some embodiments, the clustering method may be a K-means clustering algorithm or a K-means clustering algorithm (K-means clustering algorithm ).

By way of example, 1000 individual observer color matching functions may be generated, followed by iteratively grouping the 1000 individual observer color matching functions into 10 classes using a k-means clustering algorithm.

In the embodiment of the disclosure, by classifying the color matching functions of the preset number of individual observers, the deviation between the individual observers and the standard observers can be reflected, and more convenient and practical effects can be provided on the aspect of observer metamerism.

As can be seen from the foregoing, the first optical data comprises first spectral data and the matching optical data comprises matching spectral data, in which case in some embodiments determining a first chrominance value for each candidate color based on the first optical data for each candidate color, and determining a second chrominance value for each matching color based on the matching optical data for each matching color comprises:

For each candidate color, determining the product of the standard observer color matching function and the first spectrum data corresponding to the candidate color as a first chroma value corresponding to the candidate color;

In the embodiment of the disclosure, for the first spectrum data corresponding to each candidate color, the first spectrum data corresponding to each candidate color may be directly multiplied by the standard observer color matching function, so that the first chroma value corresponding to each candidate color may be obtained. Similarly, for each matching color, the matching spectrum data corresponding to each matching color can be directly multiplied by the standard observer color matching function, so that the second chromaticity value corresponding to each matching color can be obtained.

In the embodiment of the disclosure, the standard observer color matching function may be an average observer color matching function given in the versions CIE1931, CIE1964, CIE2006, and the like, and the viewing angle value of the selected standard observer color matching function may be determined according to the type or the use of the electronic device according to the foregoing embodiment. Likewise, when the first display device and the second display device are an LCD display device and an OLED display device, respectively, the standard observer color matching function is preferably an average observer color matching function in CIE2006 version.

As can be seen from the foregoing, when the number of matching colors corresponding to each candidate color is plural, determining the target parameter based on the first chromaticity value corresponding to each candidate color and the second chromaticity value of the matching color corresponding to each candidate color may include the following steps:

based on the weight corresponding to each matching color, carrying out weighted summation on the color difference corresponding to each matching color to obtain intermediate data corresponding to the candidate color;

and carrying out averaging treatment on the intermediate data corresponding to each candidate color in the plurality of colors to obtain the target parameters.

In this embodiment of the present disclosure, for each candidate color, a color difference between a second chromaticity value of each matching color corresponding to the candidate color and a first chromaticity value corresponding to the candidate color may be determined based on a preset color difference algorithm, each color difference is associated with a matching color for calculating the color difference, and in this embodiment of the present disclosure, each matching color may be associated with a weight, so that the color differences corresponding to each matching color may be further weighted and summed based on the weight corresponding to the matching color, to obtain intermediate data corresponding to the candidate color. Then, the intermediate data corresponding to each candidate color in the plurality of colors can be further averaged to obtain the target parameter.

In some embodiments, the preset color difference algorithm may be, for example, a DE2000 color difference formula.

In some embodiments, the above procedure may be expressed by the following formula:

/>

Wherein i represents an ith matching color, k represents a kth candidate color, w _i represents a weight corresponding to the ith matching color, CIEDE (XYZ _k,ref,YZ_ik,) represents a color difference between a second chromaticity value of the ith matching color corresponding to the kth candidate color and a first chromaticity value corresponding to the kth candidate color respectively determined through a preset color difference algorithm, XYZ _k,ref represents a first chromaticity value corresponding to the kth candidate color, and XYZ _ik,d represents a second chromaticity value corresponding to the ith matching color corresponding to the kth candidate color.

Alternatively, the weights corresponding to the matching colors may be set to be the same. For example, in the case where each of the matching colors corresponding to the candidate colors is determined by means of subjective observation experiments by a plurality of real observers, the weights corresponding to each of the matching colors may be set to be the same.

Alternatively, the weights corresponding to the matching colors may be set to be different, and by setting the weights corresponding to the matching colors to be different, the degree of influence between different observers may be considered, thereby further improving the accuracy of the display evaluation method.

In some embodiments, when the weights corresponding to the matching colors are set to be different, if the preset number of individual observer color matching functions are clustered based on the perceived response condition of each individual observer color matching function to the color, so as to obtain a plurality of classified observer color matching functions, that is, the matching spectrum data corresponding to the matching colors under each color matching function of the candidate colors obtained based on the mode of simulating color matching, at this time, the weights of the classified observer color matching functions corresponding to each clustering category can be determined according to the ratio of the number of individual observer color matching functions respectively included in each clustering category obtained by clustering to the total number of individual observer color matching functions corresponding to each clustering category.

Fig. 2 is a block diagram showing a display evaluation apparatus according to an exemplary embodiment. Referring to fig. 2, the apparatus 200 includes an acquisition module 210, a first determination module 220, a second determination module 230, and a third determination module 240.

The acquiring module 210 is configured to acquire first optical data corresponding to a plurality of colors displayed by the first display device;

the first determining module 220 is configured to determine matching optical data of a matching color corresponding to a candidate color, wherein the matching color has the same tristimulus value corresponding to the same observer when displayed by the second display device as the corresponding candidate color when displayed by the first display device, and the candidate color is any one of the plurality of colors;

the second determining module 230 is configured to determine a target parameter for evaluating a display difference between the first display device and the second display device based on the first optical data corresponding to each candidate color and the matching optical data of the matching color corresponding to each candidate color.

In some embodiments, the optical data comprises spectral data, and the second determining module 230 comprises:

A chromaticity value determination sub-module configured to determine a first chromaticity value corresponding to each candidate color based on first spectral data corresponding to each candidate color, and determine a second chromaticity value corresponding to each matching color based on matching spectral data corresponding to each matching color;

A target parameter determination sub-module configured to determine the target parameter based on a first chrominance value for each candidate color and a second chrominance value for a matching color for each candidate color.

In some embodiments, the first determination module 220 includes:

The acquisition sub-module is configured to acquire second optical data respectively corresponding to the multiple colors displayed by the second display device;

And the color matching sub-module is configured to perform color matching processing on the candidate colors displayed by the second display device based on a plurality of color matching functions, first optical data corresponding to the candidate colors and second optical data corresponding to the candidate colors, so as to obtain matching optical data of the candidate colors corresponding to the matching colors under the respective color matching functions.

In some embodiments, the first optical data comprises first spectral data and the second optical data comprises second spectral data comprising native spectral data of the three primary colors at maximum brightness, the color matching sub-module comprising:

A first determination unit configured to determine a first tristimulus value matrix of first spectral data corresponding to a target color matching function based on the first spectral data corresponding to the candidate color and the target color matching function, the target color matching function being any one of the plurality of color matching functions;

a second determining unit configured to determine a second tristimulus value matrix of second spectral data corresponding to a target color matching function based on native spectral data of a three primary colors corresponding to the candidate colors at maximum brightness, the target color matching function, and a matching adjustment parameter;

A third determining unit, configured to solve the matching adjustment parameter corresponding to the target color matching function under the condition that the first tristimulus value matrix is equal to the second tristimulus value matrix;

and a fourth determining unit configured to obtain, based on the matching adjustment parameter corresponding to the target color matching function and the primary spectrum data of the three primary colors corresponding to the candidate colors at maximum brightness, matching spectrum data of the candidate colors corresponding to the matching colors under the target color matching function, the matching optical data including the matching spectrum data.

In some embodiments, the apparatus 200 further comprises:

The generating module is configured to generate a model by using the individual color matching functions based on a preset age range and a preset visual angle value, and generate a preset number of individual observer color matching functions;

The clustering module is configured to perform clustering processing on the preset number of individual observer color matching functions based on the perception response conditions of the individual observer color matching functions to the colors, so as to obtain a plurality of classified observer color matching functions, wherein the plurality of classified observer color matching functions serve as the plurality of color matching functions.

In some embodiments, the target parameter determining submodule includes:

A color difference determining unit configured to determine, based on a preset color difference algorithm, color differences of second chromaticity values of respective matching colors corresponding to the candidate colors and first chromaticity values corresponding to the candidate colors, respectively;

The intermediate data determining unit is configured to perform weighted summation on the chromatic aberration corresponding to each matching color based on the weight corresponding to each matching color, so as to obtain intermediate data corresponding to the candidate color;

and the target parameter determining unit is configured to perform averaging processing on the intermediate data corresponding to each candidate color in the plurality of colors to obtain the target parameter.

In some embodiments, the first optical data comprises first spectral data, the matching optical data comprises matching spectral data, and the chromaticity value determining submodule comprises:

A first chromaticity value determining unit configured to determine, for each candidate color, a product of a standard observer color matching function and first spectral data corresponding to the candidate color as a first chromaticity value corresponding to the candidate color;

And a second chromaticity value determining unit configured to determine, for each matching color, a product of a standard observer color matching function and matching spectrum data corresponding to the matching color as a second chromaticity value corresponding to the matching color.

In some implementations, the color gamut range of the first display device is less than the color gamut range of the second display device.

The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.

The present disclosure also provides a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the steps of the display assessment method provided by the present disclosure.

Fig. 3 is a block diagram of an electronic device 300, according to an example embodiment. For example, the electronic device 300 may be an electronic device having a data calculation processing function such as a mobile phone, a notebook, a tablet computer, a desktop computer, or the like.

Referring to fig. 3, an electronic device 300 may include one or more of the following components: a processing component 302, a memory 304, a power supply component 306, a multimedia component 308, an audio component 310, an input/output interface 312, a sensor component 314, and a communication component 316.

The processing component 302 generally controls overall operation of the electronic device 300, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 302 may include one or more processors 320 to execute instructions to perform all or part of the steps of the methods described above. Further, the processing component 302 can include one or more modules that facilitate interactions between the processing component 302 and other components. For example, the processing component 302 may include a multimedia module to facilitate interaction between the multimedia component 308 and the processing component 302.

The memory 304 is configured to store various types of data to support operations at the electronic device 300. Examples of such data include instructions for any application or method operating on the electronic device 300, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 304 may be implemented by any type or combination of volatile or nonvolatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.

The power supply component 306 provides power to the various components of the electronic device 300. The power supply components 306 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the electronic device 300.

The multimedia component 308 includes a screen between the electronic device 300 and the user that provides an output interface. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may sense not only the boundary of a touch or slide action, but also the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 308 includes a front-facing camera and/or a rear-facing camera. When the electronic device 300 is in an operational mode, such as a shooting mode or a video mode, the front camera and/or the rear camera may receive external multimedia data. Each front camera and rear camera may be a fixed optical lens system or have focal length and optical zoom capabilities.

The audio component 310 is configured to output and/or input audio signals. For example, the audio component 310 includes a Microphone (MIC) configured to receive external audio signals when the electronic device 300 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may be further stored in the memory 304 or transmitted via the communication component 316. In some embodiments, audio component 310 further comprises a speaker for outputting audio signals.

Input/output interface 312 provides an interface between processing component 302 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: homepage button, volume button, start button, and lock button.

The sensor assembly 314 includes one or more sensors for providing status assessment of various aspects of the electronic device 300. For example, the sensor assembly 314 may detect an on/off state of the electronic device 300, a relative positioning of components, such as a display and keypad of the electronic device 300, a change in position of the electronic device 300 or a component of the electronic device 300, the presence or absence of a user's contact with the electronic device 300, an orientation or acceleration/deceleration of the electronic device 300, and a change in temperature of the electronic device 300. The sensor assembly 314 may include a proximity sensor configured to detect the presence of nearby objects in the absence of any physical contact. The sensor assembly 314 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 314 may also include an acceleration sensor, a gyroscopic sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 316 is configured to facilitate communication between the electronic device 300 and other devices, either wired or wireless. The electronic device 300 may access a wireless network based on a communication standard, such as WiFi,2G, or 3G, or a combination thereof. In one exemplary embodiment, the communication component 316 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 316 further includes a Near Field Communication (NFC) module to facilitate short range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, ultra Wideband (UWB) technology, bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the electronic device 300 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic elements for performing the above-described photographing methods.

In an exemplary embodiment, a non-transitory computer readable storage medium is also provided, such as memory 304, including instructions executable by processor 320 of electronic device 300 to perform the above-described method. For example, the non-transitory computer readable storage medium may be ROM, random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.

In another exemplary embodiment, a computer program product is also provided, which comprises a computer program executable by a programmable apparatus, the computer program having code portions for performing the above-described shooting method when being executed by the programmable apparatus.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A display evaluation method, comprising:

2. The method of claim 1, wherein the optical data comprises spectral data, and wherein determining the target parameter based on the first optical data for each candidate color and the matched optical data for the matched color for each candidate color comprises:

3. The method of claim 1, wherein the determining matching optical data for the matching color corresponding to the candidate color comprises:

4. A method according to claim 3, wherein the first optical data includes first spectral data, the second optical data includes second spectral data, the second spectral data includes primary spectral data of three primary colors at maximum brightness, and the performing color matching processing on the candidate color displayed by the second display device based on a plurality of color matching functions, the first optical data corresponding to the candidate color, and the second optical data corresponding to the candidate color, to obtain matching optical data of the candidate color corresponding to a matching color under each color matching function, includes:

5. A method according to claim 3, characterized in that the method further comprises:

6. The method of claim 2, wherein the plurality of matching colors for each candidate color, the determining the target parameter based on the first chrominance value for each candidate color and the second chrominance value for the matching color for each candidate color, comprises:

7. The method of claim 2, wherein the first optical data comprises first spectral data, the matching optical data comprises matching spectral data, the determining a first chromaticity value for each candidate color based on the first optical data for each candidate color, and determining a second chromaticity value for each matching color based on the matching spectral data for each matching color, comprising:

8. A display evaluation device, comprising:

9. An electronic device, comprising:

A memory having a computer program stored thereon;

a processor for executing the computer program in the memory to carry out the steps of the method of any one of claims 1 to 7.

10. A computer readable storage medium having stored thereon computer program instructions, which when executed by a processor, implement the steps of the method of any of claims 1 to 7.