Evaluation and Usage Method of a Display Device Applied to Color Discrimination Tasks

Abstract

The present invention specifically relates to an evaluation and usage method of a display device applied to color discrimination tasks. The specific steps include: S10101: Evaluating the uniformity of the brightness distribution within the display area of the display device; S10102: Evaluating the functional relationship between the hardware brightness level prompted by the display device depth and the actual screen brightness when using the display device to perform monochromatic display with any one of the three primary colors; S10103: When the display device is in use, performing data conversion on the received data for color discrimination tasks, and obtaining the hardware brightness level closest to the preset requirements; S10104: Evaluating the deviation between the actual presentation of the image and the theoretical value in terms of color brightness. In the present invention, through targeted evaluation and data conversion, the image for color discrimination tasks is accurately presented, and prompts and brightness compensation can be performed when the image presentation error reaches the specified requirements, effectively improving the accuracy of the results of color discrimination tasks, being applicable to color discrimination tasks in various environments, and having broad application prospects.

Description

Technical Field

[0001] The present invention relates to the technical field of display device evaluation, and particularly to an evaluation and use method of a display device applied to color discrimination tasks. Background Art

[0002] Color discrimination tasks are used to measure the color discrimination ability of biological individuals. The visual stimuli presented in color discrimination tasks are mostly composed of two colors, one of which is used as the background color and the other constructs a simple graphic. When performing the task, the biological individual is required to identify the graphic constructed by one color from the background constructed by another color.

[0003] For accurate measurement purposes, there are high requirements for the presentation brightness of the visual stimuli for color discrimination presented to biological individuals. That is, the brightness of the background color area should be exactly the same as that of the graphic area. At this time, identifying the graphic in the background can only rely on color differences. However, in actual situations, it often occurs that due to the display device not being evaluated and calibrated, there are obvious differences in brightness between the background color area and the graphic area of the presented visual stimuli. In this case, the measured individual can correctly identify the graphic in the background without relying on color differences but only on brightness differences, resulting in a large deviation in the measurement results. Summary of the Invention

[0004] The purpose of the present invention is to propose an evaluation and use method of a display device applied to color discrimination tasks in order to solve the above problems.

[0005] In order to achieve the above purpose, the present invention adopts the following technical solutions:

[0006] An evaluation and use method of a display device applied to color discrimination tasks, the specific steps include:

[0007] S10101: Evaluate the uniformity of the brightness distribution within the display area of the display device;

[0008] S10102: Within the display area, evaluate the functional relationship between the hardware brightness level prompted by the display device bit depth and the actual screen brightness when using any one of the three primary colors of the display device for single-color display;

[0009] S10103: When the display device is in use, perform data conversion on the received image for the color discrimination task with specific colors and specific brightness; obtain the hardware brightness level closest to the preset requirements;

[0010] S10104: Evaluate the deviation between the actual presentation of the image and the theoretical value in terms of color brightness.

[0011] Preferably, the specific method for evaluating the uniformity of brightness distribution in step S10101 is as follows:

[0012] S20101: In the display area of the display device, select any one of the three primary colors for display, and use the maximum hardware brightness level prompted by the display device bit depth to perform monochromatic maximum brightness display;

[0013] S20102: Divide the display area into a preset number of brightness evaluation areas with the same area;

[0014] S20103: In each brightness evaluation area, randomly select a preset number of areas to evaluate the display brightness, and use the average value of the evaluation results as the evaluation brightness of this area;

[0015] S20104: Compare the evaluation results of all areas. If the difference between the maximum value and the minimum value of the evaluation brightness does not exceed the preset brightness threshold, it is determined that the uniformity of the brightness distribution in the display area meets the requirements under the current color; otherwise, it is determined that the requirements are not met;

[0016] S20105: Select the other two colors of the three primary colors for display, and evaluate them in sequence according to the order of S20101 - S20104; if the uniformity of the brightness distribution in the display area meets the requirements under each color, it is determined that the uniformity of the brightness distribution in the display area of the display device meets the execution requirements of the color discrimination task; otherwise, it is determined that the requirements are not met.

[0017] Preferably, if the uniformity of the brightness distribution in the display area in S10101 does not meet the requirements, the use distance of the display area and the display device can also be re - determined by the following method:

[0018] S30101: In the existing display area, find a local area where the brightness distribution meets the requirements, and re - determine this local area as the image display area used for the color discrimination task;

[0019] S30102: Re - determine the use distance of the display device according to the size relationship between the original display area and the re - determined display area.

[0020] Preferably, when evaluating the functional relationship between the hardware brightness level prompted by the display device bit depth and the actual screen brightness in step S10102, the specific steps include:

[0021] S40101: Use any one of the three primary colors for display on the display device. In the monochromatic display mode, according to the hardware brightness level prompted by the display device bit depth, successively evaluate and record the actual screen brightness at each hardware brightness level in the display area;

[0022] S40102: Use a formula to perform data fitting on the evaluation data, obtain fitting parameters, and determine the functional relationship between the actual screen brightness and the hardware brightness level in the monochrome display mode;

[0023] S40103: Evaluate the goodness of fit of the data fitting in S40102. If the goodness of fit obtained when fitting the data using the formula in S40102 is lower than the preset value for any one of the three primary display colors, then the data for that color is refitted using a piecewise power function.

[0024] Preferably, when performing image data conversion in step S10103, the specific steps include:

[0025] S50101: Convert the brightness of the first color and the second color used for discrimination in the transmitted image into the brightness corresponding to the three primary colors of the display device;

[0026] S50102: According to the functional relationship between the actual screen brightness and the hardware brightness level obtained in S10102, convert the brightness corresponding to the three primary colors of the display device obtained in S50101 into the actual hardware brightness level corresponding to the three primary display colors that should be used during actual presentation, and then, according to the principle of rounding, convert the hardware brightness level corresponding to the three primary display colors into a level that is available for the display device and close to the preset theoretical value.

[0027] Preferably, when evaluating the deviation in color brightness between the actual presentation of the image and the theoretical value in step S10104, the specific method is:

[0028] Compare all the pixels of the image. If, at any one pixel, the brightness deviation of any one of the three primary display colors exceeds the preset value, then prompt "The color of the image presentation is inaccurate".

[0029] Preferably, when the brightness deviation of any one of the three primary display colors in S10104 exceeds the preset value, the method of image dithering can also be used for color brightness compensation. The specific steps are as follows:

[0030] S70101: According to the difference between the theoretical hardware brightness level that should be presented and the actual hardware brightness level used in actual application, combined with the functional relationship between the hardware brightness level evaluated in S10102 and the actual screen brightness, and the functional relationship between the brightness and the brightness of the three primary display colors given in S50101, calculate the color brightness deviation value for color discrimination;

[0031] S70102: According to the formula, calculate the number of display frames that need to be adjusted to compensate for the color brightness when presenting the image for the color discrimination task;

[0032] When the display device actually presents an image, the area corresponding to the color in the image is displayed normally, but the area corresponding to the first color presents only a preset number of frames per second, and in the remaining frames, the area corresponding to the color presents black.

[0033] In summary, due to the adoption of the above technical solutions, the beneficial effects of the present invention are as follows:

[0034] 1. Through targeted evaluation and data conversion, the present invention accurately presents images for color discrimination tasks, and can give prompts and brightness compensation when the image presentation error reaches the specified requirements, effectively improving the accuracy of the results of color discrimination tasks, being applicable to color discrimination tasks in various environments, and having a broad application prospect.

[0035] 2. By accurately evaluating the functional relationship between the hardware brightness level prompted by the display device bit depth and the actual brightness of the screen when any one of the three primary colors of the display is presented alone, when the goodness of fit of the power function is insufficient, a piecewise power function is used for data fitting, enabling the display device to more accurately present color images for color discrimination tasks, being beneficial to accurately controlling the presentation brightness of visual stimuli, and improving the accuracy of visual stimuli in color discrimination tasks. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In the following description of exemplary embodiments with reference to the accompanying drawings, more details, features and advantages of the present application are disclosed. In the drawings:

[0037] Figure 1 is a flowchart of the present invention; DETAILED DESCRIPTION OF THE EMBODIMENTS

[0038] The following will describe several embodiments of the present application in more detail with reference to the accompanying drawings so that those skilled in the art can implement the present application. The present application can be embodied in many different forms and purposes and should not be limited to the embodiments described herein. These embodiments are provided to make the present application comprehensive and complete, and fully convey the scope of the present application to those skilled in the art. The embodiments do not limit the present application.

[0039] Unless otherwise defined, all terms (including technical terms and scientific terms) used herein have the same meaning as commonly understood by those of ordinary skill in the art to which the present application belongs. It will be further understood that terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the relevant art and / or the context of the present specification, and will not be interpreted in an idealized or overly formal sense unless clearly defined herein.

[0040] Please refer to Figure 1 as shown, the present invention provides a technical solution:

[0041] An evaluation and usage method for a display device applied to color discrimination tasks, the specific steps include:

[0042] S10301. Evaluate the uniformity of the brightness distribution within the display area of the display device;

[0043] S10302. Within the display area, evaluate the functional relationship between the hardware brightness level prompted by the display device bit depth and the actual screen brightness when using the display device to display any one of the three primary colors for monochromatic display;

[0044] S10303. When the display device is in use, perform data conversion on the transmitted image for color discrimination tasks with specific colors and specific brightnesses, and obtain the actual hardware brightness level that is closest to the requirements and can be truly applied;

[0045] S10304. According to the conversion result of S10303, evaluate the deviation in color brightness between the actual presentation of the image and the theoretical value; when the deviation value exceeds the specified value, display "The color of the image presentation is inaccurate" on the display screen;

[0046] Evaluating the uniformity of the brightness distribution within the display area of the display device in S10301 is a substantial requirement for color discrimination tasks. As mentioned in the technical background, for the purpose of achieving accurate measurement, there are high requirements for the presentation brightness of the visual stimuli presented to biological individuals for color discrimination. That is, the brightness of the background color area should be exactly the same as the brightness of the graphic area. Otherwise, the measured individual can distinguish the background and the target graphic through the brightness difference rather than the color difference between the background color area and the target graphic area. On the other hand, in color discrimination tasks, the positions of the background color area and the target graphic area are not fixed and will randomly change to a certain extent. Therefore, in order to achieve good results in color discrimination tasks, it is necessary to evaluate the display area of the display device before the task starts to ensure that the brightness of each local area within the display area is uniform;

[0047] Preferably, the specific method for evaluating the brightness distribution uniformity is:

[0048] S20301. Within the display area of the display device, select any one of the three primary colors, and use the maximum hardware brightness level prompted by the display device bit depth to perform monochromatic maximum brightness display;

[0049] S20302. Divide the display area into m×n brightness evaluation areas with the same area (both m and n are positive integers greater than 3), and the viewing angle corresponding to each area is not less than 1.0°×1.0° and not greater than 2.0°×2.0°;

[0050] S20303. Randomly select three points within each brightness evaluation area to evaluate the display brightness. The average value of the evaluation results is used as the evaluation brightness of this area;

[0051] S20304. Compare the evaluation results of all areas. If the difference between the maximum value and the minimum value of the evaluation brightness does not exceed 5% of the maximum value, it is determined that the brightness distribution uniformity of the display area meets the requirements under the current color; otherwise, it is determined that it does not meet the requirements;

[0052] S20305. Select the other two colors among the three primary display colors and evaluate them in sequence according to the order of S20101 - S20104; if the brightness distribution uniformity of the display area meets the requirements under each color, it is determined that the brightness distribution uniformity within the display area of the display device meets the execution requirements of the color discrimination task; otherwise, it is determined that it does not meet the requirements;

[0053] It should be noted that most existing display devices have hardware setting adjustment options (for example, parameter options such as "brightness", "contrast", and "Gamma" adjusted through buttons on the monitor). Therefore, when evaluating the brightness uniformity, the above hardware setting adjustment options should be fixed and remain unchanged during the evaluation process and the subsequent usage process. If the hardware setting adjustment options on the display device are adjusted due to misoperation, they must be restored in time or re - evaluated;

[0054] In addition, when using a screen brightness meter for brightness evaluation, the measurement range each time is very small. If all areas within the display area are evaluated, it will take too long. Optionally, as described in S20302 - S20303, the display area can be divided into several areas with the same area, and then three samples are taken in each local area, and the average value of the sampling results is used as the brightness measurement result of this local area. It is worth mentioning that to balance the measurement efficiency and the accuracy of the measurement results, the divided local areas should not be too large or too small. Generally, the size is between 1.0 degree of visual angle and 3.0 degrees of visual angle in both length and width;

[0055] In units of visual angle rather than length units such as centimeters, mainly considering the execution requirements of the color discrimination task. When the color discrimination task is executed, the distance between the eyes of the measured individual and the display device is fixed. Based on the characteristics of the "pinhole imaging" of the human eye, the larger the image within the display area of the display device, the larger its reflection on the retina, and the larger the apex angles of the two similar triangles formed by the graphic, the reflection, and the visual axis (this apex angle is the visual angle). Since the pixel sizes of different display devices are not the same, for an image with 600 pixel points each in width and length, when presented on different display devices, its actual presented size may not be the same. To ensure the comparability of evaluation results under different devices, general visual discrimination tasks (of course, including color discrimination tasks) are in units of visual angle;

[0056] Considering the characteristics that "the spatial resolution ability within different visual fields of the human eye gradually decreases from the center to the periphery and shows a radial distribution", and "the macula area with the highest sensitivity on the retina generally does not exceed a 6-degree visual angle", the graphics used in the color discrimination task are mostly close to circular to ensure that the imaging on the retina "is centered on one point and has the same radial size in all directions", and the size is mostly marked by the diameter, with a value range generally of 2.5 - 6.0 degrees of visual angle;

[0057] In addition, since the colors used in the color discrimination task are not all mixtures of the three display primary colors in different brightness ratios, and may be just one of the three display primary colors, there are also clear requirements for the brightness uniformity when each of the three display primary colors is presented alone. Correspondingly, for the evaluation of brightness uniformity, it needs to be evaluated once when each of the three display primary colors is presented alone. If it does not meet the requirements in any case, this display device cannot be used for the color discrimination task;

[0058] Of course, in practical applications, display devices with strictly compliant brightness uniformity are rare. Optionally, this solution provides a remedial solution, specifically:

[0059] S30301: In the existing display area, find a local area with a compliant brightness distribution and re-determine this local area as the image display area for the color discrimination task;

[0060] S30302: According to the size situation of the original display area and the re-determined display area, re-determine the usage distance of this display device. The specific method is:

[0061] ;

[0062] Where, Disold and Disnew represent the original usage distance and the newly determined usage distance respectively, lengthnew and Widthnew represent the length and width of the original display area respectively, lengthold and Widthold represent the length and width of the newly determined display area respectively, and min(·) is the minimum value function.

[0063] That is, find a local area with uniform brightness within the original display area to replace the original display area for color discrimination tasks. Of course, to ensure that the viewing angle of the new display area is the same as that of the original display area, the usage distance of the display device should be adjusted accordingly;

[0064] The hardware brightness level of a display device is usually determined by the display bit depth. When the display bit depth is 8 bits, the hardware brightness level of the display device is divided into 2^8 = 256 levels in total; when the display bit depth is 10 bits, the hardware brightness level of the display device is divided into 2^10 = 1024 levels in total. To be more intuitive, when the display bit depth is 8 bits, the 256 hardware brightness levels correspond to the brightness in 256 cases such as "r = 0, g = 0, b = 0", "r = 1, g = 1, b = 1" until "r = 255, g = 255, b = 255" in the color palette; when the display bit depth is 10 bits, the 1024 hardware brightness levels correspond to the brightness in 1024 cases such as "r = 0, g = 0, b = 0", "r = 1, g = 1, b = 1" until "r = 1023, g = 1023, b = 1023" in the color palette;

[0065] It is worth mentioning that, without special treatment, the default setting used by the display device when displaying an image is "a linear relationship between the rgb value and the brightness". In other words, the actual brightness corresponding to "r = 200, g = 0, b = 0" by the display device is twice the actual brightness corresponding to "r = 100, g = 0, b = "0". However, this is not the case. For the vast majority of display devices, the actual brightness corresponding to "r = 200, g = 0, b = 0" is more than twice the actual brightness corresponding to "r = 100, g = 0, b = 0". The relationship between the actual display brightness values corresponding to the 256 hardware brightness levels and the rgb values often shows a power function relationship, and in a few cases, it is a more complex curve relationship, such as an S-shaped curve. Such a setting is beneficial to highlighting more brightness levels when presenting an image, but it is not conducive to precisely controlling the presented brightness of visual stimuli;

[0066] To accurately present the color image for color discrimination tasks, after the brightness uniformity evaluation of the display device, the functional relationship between the hardware brightness level prompted by the display bit depth and the actual brightness of the screen when any one of the three primary colors of the display is presented alone should also be accurately evaluated. Optionally, the following method is specifically adopted:

[0067] S40301. Use a display device to display any one of the three primary colors. In the monochrome display mode, according to the hardware brightness levels prompted by the display device bit depth, successively evaluate and record the actual screen brightness at each hardware brightness level within the display area.

[0068] S40302. Use the following formula to perform data fitting on the evaluation data, obtain the fitting parameters, and determine the functional relationship between the actual screen brightness and the hardware brightness levels in the monochrome display mode:

[0069] ;

[0070] ;

[0071] ;

[0072] where lumc1, lumc2, and lumc3 are the measured screen brightnesses of the display device when using each of the three primary colors separately, levelc1, levelc2, and levelc3 are the hardware brightness levels, and a1c1, a1c2, a1c3, b1c1, b1c2, and b1c3 are all fitting parameters.

[0073] S40303. Evaluate the goodness of fit of the data fitting in S40302. If the goodness of fit obtained when fitting the data using the formula in S40302 is less than 95% for any one of the three primary colors, the data for that color should be refitted using a piecewise power function. The formula for the piecewise power function is as follows:

[0074] ;

[0075] ;

[0076] ;

[0077] where lumc1, lumc2, and lumc3 are the measured screen brightnesses when using one of the three primary colors separately; levelc1, levelc2, and levelc3 are the hardware brightness levels; lumc1,max, lumc2,max, and lumc3,max are the maximum measured screen brightnesses when using one of the three primary colors separately; a1c1, a1c2, a1c3, a2c1, a2c2, a2c3, b1c1, b1c2, b1c3, BPc1, BPc2, and BPc3 are all fitting parameters; min(·) is the minimum value function; max(·) is the maximum value function.

[0078] It should be noted that after obtaining the actual screen brightness at different hardware brightness levels, the formula in S40302 can be used to fit the data to obtain the functional relationship between the actual screen brightness and the hardware brightness level for each of the three primary colors. However, sometimes the power function does not match the measured data very well. In this case, the function curve between the hardware brightness level and the actual screen brightness is often S-shaped. Optionally, when the goodness of fit of the power function is less than 95%, the piecewise power function in S40303 can be used for data fitting instead.

[0079] When fitting data, the goodness of fit is calculated as follows:

[0080] ;

[0081] Wherein, r2 is the data fitting goodness, datalum,theory is the screen brightness value at different hardware brightness levels predicted by the model (in this embodiment, the power function model), datalum,measured is the actual screen brightness value actually measured, and mean(·) is the averaging function;

[0082] It is worth mentioning that due to the influence of hardware aging during the use of display devices, the brightness distribution of display devices at different hardware brightness levels, as well as the functional relationship between different hardware brightness levels and actual display brightness, will inevitably change during use. Therefore, it is necessary to conduct regular evaluation of display devices;

[0083] After the display device evaluation is completed, the functional relationship between "the theoretical brightness value of the visual stimulus required to be presented when only one of the three primary colors is used" and "the hardware brightness level value that meets the requirements" can be obtained or updated. When used, data conversion can be performed on the transmitted image with specific color and specific brightness for color discrimination tasks, and the theoretical brightness value required to be presented at each pixel of the image can be converted into the hardware brightness level value that meets the requirements. On this basis, the actual hardware brightness level that is closest to the requirements and can be actually applied can be obtained. The specific optional methods are as follows:

[0084] S50301. Use the following formula to convert the brightness of the first color and the second color used for discrimination in the transmitted image into the brightness corresponding to the three primary colors of the display device:

[0085] ;

[0086] ;

[0087] ;

[0088] Among them, lum(x,y)c1, lum(x,y)c2, and lum(x,y)c3 represent the brightnesses corresponding to the three colors c1, c2, and c3 in the display trichromatic colors respectively, among the brightnesses of the point with coordinates (x, y) in the color visual stimulus image; l(x,y)color1 and l(x,y)color2 represent the brightnesses corresponding to the first color color1 and the second color color2 to be distinguished respectively, among the brightnesses of the point with coordinates (x, y) in the color visual stimulus image; Ratiocolor1,c1, Ratiocolor1,c2, and Ratiocolor1,c3 represent the brightness ratios of c1, c2, and c3 respectively in the mixed light of the first color color1 when using the display trichromatic colors c1, c2, and c3 to mix and prepare the first color color1; Ratiocolor2,c1, Ratiocolor2,c2, and Ratiocolor2,c3 represent the brightness ratios of c1, c2, and c3 respectively in the mixed light of the second color color2 when using the display trichromatic colors c1, c2, and c3 to mix and prepare the second color color2.

[0089] S50302. According to the functional relationship between the actual screen brightness and the hardware brightness level obtained in S10302, convert the lum(x,y)c1, lum(x,y)c2, and lum(x,y)c3 obtained in S50301 into the hardware brightness levels levelc1, levelc2, and levelc3 corresponding to the display trichromatic colors that should be used during actual presentation, and then, according to the rounding principle, convert levelc1, levelc2, and levelc3 into levelc1′, levelc2′, and levelc3′ that are closest to the theoretical values and available for the display device, that is:

[0090] ;

[0091] ;

[0092] ;

[0093] Among them, levelc1, levelc2, and levelc3 are the theoretical hardware brightness levels that should be used during presentation calculated according to the formula in S40101, and levelc1′, levelc2′, and levelc3′ are the actual hardware brightness levels that can be actually applied after conversion;

[0094] Based on the formulas in S50301 - S50302 and the basic principle of rounding, it can be known that levelc1, levelc2, and levelc3 can be any values greater than zero and less than the maximum hardware brightness level. However, when actually presented, non - integer values cannot be used, and only the closest positive integers levelc1′, levelc2′, and levelc3′ can be used. Therefore, when the image is actually presented, there are often deviations between the theoretical values and the actual presented values in terms of color brightness. To effectively reduce the deviation, the display bit - depth of the display device should be above 10 bits, and the higher the better. However, it should be emphasized that if the first color and the second color used for the color discrimination task are not the display primary colors of the display device, but other colors mixed and prepared from the display primary colors in a certain proportion, then in the above - mentioned rounding process, the probability and degree of deviation will be greatly increased;

[0095] To ensure the execution effect of the color discrimination task, it is also necessary to evaluate the deviation between the actual presented image and the theoretical value in terms of color brightness after data conversion. When the deviation value exceeds the specified value, a prompt of "The color of the presented image is inaccurate" should be given;

[0096] Optionally, the specific method for evaluating the brightness and color deviation when the image is actually presented in step S10104 is as follows:

[0097] Compare the differences between the theoretical levels of hardware brightness levelc1, levelc2, and levelc3 that should be presented and the actual levels of hardware brightness levelc1′, levelc2′, and levelc3′ actually applied at all pixel points of the image. If the brightness deviation of any one of the display primary colors exceeds the first value at any pixel point, a prompt of "The color of the presented image is inaccurate" should be given. Preferably, the first value is 0.10;

[0098] It should be noted that the brightness perception of visual images by organisms is often based on time averaging. For example, if a lamp is constantly turned on and off, the observer will feel that the lamp is "flashing" brightly and dimly; but if the speed of turning on and off the lamp exceeds a certain value, the observer will not feel that the lamp is flashing, but will feel that the lamp is always on, only the brightness of the lamp is a little dimmer than in the normal situation. Therefore, optionally, for the deviation between the actual presented image and the theoretical value in terms of color brightness mentioned above, image dithering technology can be used for color - brightness compensation. The specific steps are as follows:

[0099] S70301. Based on the differences between the theoretical level of hardware brightness that should be presented and the actual levels of hardware brightness levelc1′, levelc2′, and levelc3′ actually applied in the actual application (i.e., levelc1 - levelc1′, levelc2 - levelc2′, and levelc3 - levelc3′), combined with the functional relationship between the hardware brightness level evaluated in S10302 and the actual screen brightness, and the functional relationship between the brightness of the first / second color and the brightness of the display three primary colors given in S50301, calculate the brightness deviation values (i.e., Devcolor1 and Devcolor2) of the first / second color for color resolution;

[0100] S70302. According to the following formula, calculate the number of display frames that need to be adjusted to compensate for color brightness when presenting an image for a color resolution task:

[0101] ;

[0102] Where, Devcolor1 and Devcolor2 respectively represent the brightness deviation values of the first / second color for color resolution, and lumcolor1 represents the brightness that the first color color1 should present in the image; Without loss of generality, assume that the brightness deviation value of the first color (Devcolor1) is greater than the brightness deviation value of the second color (Devcolor1); RefreshRate is the refresh rate used by the display device when displaying an image, in frames per second; MVRefreshRate, color1 is the number of display frames that should be adjusted for the area corresponding to the first color when the display device displays an image;

[0103] S70303. When the display device actually presents an image, the area corresponding to the second color in the image is displayed normally (i.e., presenting RefreshRate number of frames per second), but for the area corresponding to the first color, only (RefreshRate - MVRefreshRate, color1) number of frames are presented per second. In the remaining MVRefreshRate, color1 frames, the area corresponding to the first color presents black;

[0104] It should be noted that the missing frames should be inserted into the actually displayed frames, and the missing frames should not be continuously displayed as much as possible. For example, if the normal display refresh rate of the display device is 120Hz, that is, 120 frames are refreshed in 1 second, and MVRefreshRate, color1 is 12 frames, then in the area corresponding to the first color, only 120 - 12 = 108 frames are presented per second, and the area corresponding to the first color presents black in the remaining 12 frames. And during actual presentation, try not to have "in 1 second, the first 108 frames continuously present the first color, and the last 12 frames continuously present black". It is possible to insert the 12 frames presenting black into the 108 frames presented normally in a scrambled manner, such as "in every 10 consecutive frames presented, 9 frames normally present the first color, and 1 frame presents black". Since the normally presented frames and black alternate, the measured person will feel that the image has a little jitter. However, when the screen refresh rate is high and MVRefreshRate, color1 is small, the sense of jitter is very small and will not significantly affect the execution of the color discrimination task.

[0105] The above formulas are all obtained by collecting a large amount of data for software simulation and selecting a formula close to the true value. The influence weight factors and specific coefficient values in the formula are set by those skilled in the art according to the actual situation and can be adjusted and modified subsequently.

[0106] The above description of the embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be obvious to those skilled in the art. The general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to these embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for evaluating and using a display device for color discrimination tasks, characterized in that: The specific steps include: S10101: Evaluate the uniformity of brightness distribution within the display area of the display device; The specific method is: S20101: Select any one of the three primary colors for display within the display area of the display device, and use the maximum hardware brightness level indicated by the bit depth of the display device for monochrome maximum brightness display. S20102: Divide the display area into a preset number of brightness evaluation areas of equal area; S20103: Randomly select a preset number of areas within each brightness evaluation area to evaluate the display brightness, and use the average of the evaluation results as the evaluation brightness of the area; S20104: Comparing the evaluation results of all areas, if the difference between the maximum and minimum evaluation brightness does not exceed the preset brightness threshold, determining that the uniformity of the brightness distribution of the display area meets the requirements under the current color; otherwise, determining that it does not meet the requirements; S20105: Select the other two colors from the three primary colors for display and evaluate them in the order of S20101-S20104. If the uniformity of the brightness distribution in the display area meets the requirements for each color, then the uniformity of the brightness distribution in the display area of the display device is determined to meet the requirements for performing the color discrimination task; otherwise, it is determined that the uniformity does not meet the requirements. S10102: Evaluate, within the display area, a functional relationship between a hardware brightness level indicated by the display device's bit depth and actual screen brightness when the display device displays any one of the three primary colors for monochrome display. S10103: When the display device is in use, data conversion is performed on the image received for the color discrimination task and having the preset color and brightness; and a hardware brightness level closest to the preset requirement is obtained; S10104: Evaluate the deviation in color brightness between the actual image presentation and the theoretical value.

2. The method for evaluating and using a display device for color discrimination tasks according to claim 1, wherein: If the uniformity of the brightness distribution within the display area in S10101 does not meet the requirements, the following method can be used to re-determine the display area and the operating distance of the display device: S30101: Find a local area in the existing display area whose brightness distribution meets the requirements, and re-determine the local area as the image display area used for the color discrimination task; S30102: Re-determine the usage distance of the display device based on the size of the original display area and the re-determined display area.

3. The method for evaluating and using a display device for color discrimination tasks according to claim 1, wherein: When evaluating the functional relationship between the hardware brightness level indicated by the bit depth of the display device and the actual brightness of the screen in step S10102, the specific steps include: S40101: Use a display device to display any one of the three primary colors in monochrome display mode, and measure and record the actual screen brightness at each hardware brightness level within the display area, according to the hardware brightness level indicated by the display device's bit depth. S40102: Perform data fitting on the evaluation data to obtain fitting parameters, and determine the functional relationship between the actual screen brightness and the hardware brightness level in the monochrome display mode; S40103: Evaluate the goodness of fit of the data in S40102. If the goodness of fit obtained when using the data fitted in S40102 is lower than a preset value when displaying any of the three primary colors, the data in that color is refitted using the piecewise power function.

4. The method for evaluating and using a display device for color discrimination tasks according to claim 1, wherein: When image data conversion is performed in step S10103, the specific steps include: S50101: Convert the brightness of the first color and the second color used for distinguishing in the transmitted image into brightness corresponding to the three primary colors of the display device; S50102: Based on the functional relationship between the actual screen brightness and the hardware brightness level obtained in S10102, convert the brightness corresponding to the three primary colors of the display device obtained in S50101 into the actual hardware brightness level corresponding to the three primary colors of the display that should be used in actual presentation. Then, according to the principle of rounding, convert the hardware brightness level corresponding to the three primary colors of the display into a level that is available for the display device and close to the preset theoretical value.

5. The method for evaluating and using a display device for color discrimination tasks according to claim 1, wherein: In step S10104, the deviation of the color brightness of the actual image from the theoretical value is evaluated. The specific method is: Compare all pixels in the image. If the brightness deviation of any of the three primary colors at any pixel exceeds the preset value, the prompt "Image color is inaccurate" will be displayed.

6. The method for evaluating and using a display device for color discrimination tasks according to claim 5, wherein: When the brightness deviation of any of the three primary colors displayed in S10104 exceeds the preset value, the image dithering method can be used to compensate for the color brightness. The specific steps are as follows: S70101: Calculate the color brightness deviation value used for color resolution based on the difference between the theoretical hardware brightness level that should be presented and the actual hardware brightness level actually used, combined with the functional relationship between the hardware brightness level evaluated in S10102 and the actual screen brightness, and the functional relationship between the brightness and the brightness of the three primary colors of the display given in S50101; S70102: Calculate the number of display frames that need to be adjusted to compensate for color brightness when presenting an image for a color discrimination task; S70103. When the display device actually presents an image, the area corresponding to the color in the image is displayed normally, but the area corresponding to the first color is presented only at a preset number of frames per second, and in the remaining frames, the area corresponding to the color appears black.

Images