Evaluation and use method of display device applied to color resolution task

Abstract

The invention specifically relates to an evaluation and use method of a display device applied to a color resolution task. The method comprises the following specific steps: S10101, evaluating the uniformity of brightness distribution in a display area of the display device; s10102, evaluating the function relationship between the hardware brightness level prompted by the bit depth of the display equipment and the actual brightness of the screen when the display equipment is used for displaying any one of the three primary colors for monochromatic display; s10103, when the display equipment is used, performing data conversion on the received task for color resolution; acquiring a hardware brightness level closest to a preset requirement; and S10104, evaluating the deviation between the image and the theoretical value in color brightness when the image is actually presented. According to the method, the image for the color resolution task is accurately presented through targeted evaluation and data conversion, prompting and brightness compensation can be carried out when the image presentation error meets the specified requirement, the accuracy of the color resolution task result is effectively improved, and the method is suitable for color resolution tasks in various environments and has wide application prospects.

Description

Technical Field

[0001] The present invention relates to the technical field of display device evaluation, and in particular to an evaluation and use method of a display device applied to a color resolution task. Background Art

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

[0003] In order to achieve accurate measurement, the visual stimulus presented to biological individuals for color discrimination has high requirements on presentation brightness. That is, the brightness of the background color area should be exactly the same as that of the graphic area. At this time, the identification of the graphics in the background can only rely on color differences. However, in actual situations, the background color area and the graphic area of ​​the visual stimulus presented often have obvious differences in brightness because the display device has not been evaluated and adjusted. In this case, the measured individual can correctly identify the graphics in the background without relying on color differences, but only on brightness differences, resulting in large deviations in the measurement results. Summary of the invention

[0004] The purpose of the present invention is to solve the above-mentioned problem and to propose a method for evaluating and using a display device applied to a color resolution task.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions: A method for evaluating and using a display device for a color resolution task, comprising the following specific steps: S10101: Evaluate the uniformity of brightness distribution within the display area of ​​the display device; S10102: In the display area, evaluate the functional relationship between the hardware brightness level indicated by the bit depth of the display device and the actual brightness of the screen when the display device is used to display any one of the three primary colors for monochrome display; S10103: When the display device is in use, data conversion is performed on the received image with specific color and specific brightness for the color resolution task; and the 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.

[0006] Preferably, the specific method for evaluating the uniformity of brightness distribution in step S10101 is: S20101: In a display area of ​​a display device, any one of the three primary colors is selected for display, and a maximum hardware brightness level indicated by a bit depth of the display device is used to perform a monochrome maximum brightness display; S20102: Divide the display area into a preset number of brightness evaluation areas with the same area; S20103: In each brightness evaluation area, randomly select a preset number of areas to evaluate display brightness, and use the average of the evaluation results as the evaluation brightness of the area; S20104: Compare the evaluation results of all areas. If the difference between the maximum and minimum values ​​of the evaluation brightness does not exceed the preset brightness threshold, it is determined that the uniformity of the brightness distribution of the display area meets the requirements under the current color; otherwise, it is determined that it does not meet the requirements; S20105: Select the other two colors of 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 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 resolution task; otherwise, it is determined that it does not meet the requirements.

[0007] 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 may be re-determined by the following method: S30101: Find a local area whose brightness distribution meets the requirements in the existing display area, and redefine the local area as the image display area used for the color discrimination task; S30102: Re-determine the use distance of the display device according to the size of the original display area and the re-determined display area.

[0008] Preferably, 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 a monochrome display mode, according to the hardware brightness level indicated by the bit depth of the display device, evaluate and record the actual screen brightness at each hardware brightness level in the display area one by one; S40102: fitting the evaluation data using a formula to obtain fitting parameters, and determining a functional relationship between the actual screen brightness and the hardware brightness level in a monochrome display mode; S40103: Evaluate the goodness of fit of the data in S40102. If the goodness of fit obtained when fitting the data using the formula in S40102 is lower than a preset value when displaying any of the three primary colors, the data under that color is refitted using the piecewise power function.

[0009] Preferably, 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, and then convert the hardware brightness level corresponding to the three primary colors of the display into a level that is available to the display device and close to the preset theoretical value according to the principle of rounding.

[0010] Preferably, the specific method for evaluating the deviation of the color brightness between the actual image presentation and the theoretical value in step S10104 is as follows: Compare all the pixels of the image. If the brightness deviation of any of the three primary colors at any pixel exceeds the preset value, the message "the image color is inaccurate" will be displayed.

[0011] Preferably, when the brightness deviation of any one of the three primary colors displayed in S10104 exceeds a preset value, the color brightness compensation can be performed by using an image dithering method, and the specific steps are as follows: S70101: Calculate the color brightness deviation value for color resolution based on the difference between the theoretical hardware brightness level that should be presented and the actual hardware brightness level actually applied, 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 given in S50101 and the brightness of the three primary colors displayed; S70102: Calculate, according to a formula, 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.

[0012] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: 1. The present invention accurately presents images used for color resolution tasks through targeted evaluation and data conversion, and can provide prompts and brightness compensation when the image presentation error reaches the specified requirements, effectively improving the accuracy of the color resolution task results. It is suitable for color resolution tasks in a variety of environments and has broad application prospects.

[0013] 2. The present invention accurately evaluates the functional relationship between the hardware brightness level indicated by the bit depth of the display device and the actual brightness of the screen when any one of the three primary colors is presented separately. When the power function fitting goodness is insufficient, a piecewise power function is used for data fitting, so that the display device can more accurately present color images used for color discrimination tasks, which is beneficial to accurately control the presentation brightness of visual stimuli and improve the accuracy of visual stimuli in color discrimination tasks. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Further details, features and advantages of the present application are disclosed in the following description of exemplary embodiments in conjunction with the accompanying drawings, in which: Figure 1 is a flow chart of the present invention; DETAILED DESCRIPTION

[0015] Several embodiments of the present application will be described in more detail below 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 to fully convey the scope of the present application to those skilled in the art. The embodiments do not limit the present application.

[0016] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by those of ordinary skill in the art to which this 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 this specification, and will not be interpreted in an idealized or overly formal sense unless explicitly defined as such herein.

[0017] See also Figure 1 As shown, the present invention provides a technical solution: A method for evaluating and using a display device for a color resolution task, comprising the following specific steps: S10301, evaluating the uniformity of brightness distribution within the display area of ​​the display device; S10302. In the display area, evaluate the functional relationship between the hardware brightness level indicated by the bit depth of the display device and the actual brightness of the screen when the display device is used to display any one of the three primary colors for monochrome display; S10303, when the display device is in use, data conversion is performed on the transmitted image with specific color and specific brightness for the color resolution task, so as to obtain the actual hardware brightness level that is closest to the requirement and can be actually applied; S10304, based on the conversion result of S10303, evaluating the deviation of the color brightness between the actual image presentation and the theoretical value; when the deviation value exceeds the specified value, displaying "the image presentation color is inaccurate" on the display screen; Evaluating the uniformity of brightness distribution within the display area of ​​the display device in S10301 is a substantial requirement for the color discrimination task. As mentioned in the technical background, in order to achieve the purpose of accurate measurement, the visual stimuli presented to biological individuals for color discrimination have high requirements on presentation brightness. 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 by the brightness difference between the background color area and the target graphic area rather than the color difference. On the other hand, in the color discrimination task, 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 the color discrimination task, it is necessary to evaluate the display area of ​​the display device before the task begins to ensure that the brightness of each local area within the display area is uniform; Preferably, the specific method for evaluating the uniformity of brightness distribution is: S20301. In a display area of ​​a display device, select any one of the three primary colors for display, and use the maximum hardware brightness level indicated by the bit depth of the display device to perform monochrome maximum brightness display; S20302, dividing the display area into m×n brightness evaluation areas of equal area (m and n are both 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°; S20303. In each brightness evaluation area, three locations are randomly selected to evaluate the display brightness, and the average of the evaluation results is used as the evaluation brightness of the area; S20304, comparing the evaluation results of all areas, if the difference between the maximum and minimum values ​​of the evaluation brightness does not exceed 5% of the maximum value, it is determined that the uniformity of the brightness distribution of the display area meets the requirements under the current color; otherwise, it is determined that it does not meet the requirements; S20305, selecting the other two colors of the three primary colors for display, and evaluating 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 determining that the uniformity of the brightness distribution in the display area of ​​the display device meets the execution requirements of the color resolution task; otherwise, determining that it does not meet the requirements; It should be noted that most existing display devices have hardware setting adjustment options (for example, the "brightness", "contrast" and "gamma" parameters that can be adjusted by buttons on the display). Therefore, when evaluating the uniform distribution of brightness, the above hardware setting adjustment options should be fixed and remain unchanged during the evaluation process and after the evaluation. If the hardware setting adjustment options on the display device are adjusted due to misoperation, they must be restored or re-evaluated in a timely manner; In addition, when using a screen brightness meter for brightness evaluation, the range of each measurement is very small. If all areas in the display area are evaluated once, it will take too long. Optionally, the display area can be divided into several areas of equal area as described in S20302-S20303, and then 3 samples are taken in each local area, and the average of the sampling results is used as the brightness measurement result of the local area. It is worth mentioning that in order to take into account both the measurement efficiency and the accuracy of the measurement results, the divided local areas should not be too large or too small. In general, the size is between 1.0 degree and 3.0 degree viewing angles in length and width; The reason why it is measured in units of viewing angle rather than length units such as centimeters is mainly due to the requirements of the color discrimination task. When the color discrimination task is performed, the distance between the eyes of the individual being measured and the display device is fixed. Based on the characteristics of "pinhole imaging" of the human eye, the larger the image in the display area of ​​the display device, the larger its reflection mapped on the retina, and the larger the vertex angle of the two similar triangles formed between the image, the reflection and the visual axis (the vertex angle is the viewing angle). However, the pixel sizes of different display devices are not the same. Therefore, the actual presentation size of the same image with a length and width of 600 pixels each may not be the same when presented on different display devices. In order to ensure the comparability of the evaluation results on different devices, general visual discrimination tasks (of course, including color discrimination tasks) are measured in units of viewing angle; Taking into account the characteristics of the human eye that "the spatial resolution ability in different visual fields gradually decreases from the center to the periphery and is distributed radially", and that "the macular area with the highest sensitivity on the retina generally does not exceed 6 degrees of visual angle", the graphics used in color discrimination tasks are mostly close to circles to ensure that the image on the retina is "centered on one point and the radial size is consistent". The size is also mostly indicated by diameter, and the value range is generally 2.5 - 6.0 degrees of visual angle; In addition, since the colors used in the color discrimination task are not all mixed with different brightness ratios of the three primary colors, but may only display one of the three primary colors, the color discrimination task also has clear requirements for the brightness uniformity when each of the three primary colors is presented separately. Correspondingly, the brightness uniformity evaluation needs to be evaluated when each of the three primary colors is presented separately. If any of the requirements are not met, the display device cannot be used for color discrimination tasks; Of course, in practical applications, display devices that strictly meet the brightness uniformity requirements are rare. Optionally, this solution provides a remedial solution, specifically: S30301. In the existing display area, find a local area whose brightness distribution meets the requirements, and re-determine the local area as the image display area used for the color discrimination task; S30302: Re-determine the use distance of the display device according to the size of the original display area and the re-determined display area. The specific method is as follows: ; Wherein, Disold and Disnew represent the original usage distance and the re-determined usage distance respectively, lengthnew and Widthnew represent the length and width of the original display area respectively, lengthold and Widthold are the re-determined length and width of the display area respectively, and min(·) is the minimum value function.

[0018] That is, find a local area in the original display area with brightness uniformity that meets the requirements and replace the original display area for the color resolution task. Of course, in order to ensure that the new display area has the same viewing angle as the original display area, the use distance of the display device should also be adjusted accordingly; The hardware brightness level of the 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; when the display bit depth is 10 bits, the hardware brightness level of the display device is divided into 2^10=1024 levels. To put it more intuitively, when the display bit depth is 8 bits, the 256 hardware brightness levels correspond to the brightness of the 256 cases in the palette "r=0, g=0, b=0", "r=1, g=1, b=1" to "r=255, g=255, b=255"; when the display bit depth is 10 bits, the 1024 hardware brightness levels correspond to the brightness of the 1024 cases in the palette "r=0, g=0, b=0", "r=1, g=1, b=1" to "r=1023, g=1023, b=1023"; It is worth mentioning that, without any special processing, the default setting used by the display device when displaying images is "a linear relationship between RGB value and brightness". In other words, the actual brightness corresponding to the display device's default "r=200, g=0, b=0" 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 value corresponding to the 256 hardware brightness levels and the RGB value is often a power function relationship. In a few cases, it is a more complex curve relationship, such as an S-shaped curve. Such a setting is conducive to highlighting more brightness levels when presenting images, but it is not conducive to accurately controlling the presentation brightness of visual stimuli; In order to accurately present color images for color discrimination tasks, after the brightness uniformity evaluation of the display device is completed, the functional relationship between the hardware brightness level indicated by the display device bit depth and the actual brightness of the screen should be accurately evaluated when any one of the three primary colors is presented separately. Optionally, the following methods are used: S40301, using a display device to display any one of the three primary colors, in a monochrome display mode, according to the hardware brightness level indicated by the bit depth of the display device, evaluate and record the actual screen brightness at each hardware brightness level in the display area one by one; S40302. Use the following formula to fit the test data, obtain fitting parameters, and determine the functional relationship between the actual screen brightness and the hardware brightness level in the monochrome display mode: ; ; ; Among them, lumc1, lumc2, lumc3 are the measured screen brightness of the display device when each of the three primary colors is used separately, levelc1, levelc2, levelc3 are the hardware brightness levels, and a1c1, a1c2, a1c3, b1c1, b1c2, b1c3 are all fitting parameters; S40303, evaluate the goodness of fit of the data in S40302. If the goodness of fit obtained when fitting the data using the formula in S40302 is less than 95% when displaying any of the three primary colors, the data under that color should be refitted using the piecewise power function. The formula of the piecewise power function is as follows: ; ; ; Among them, lumc1, lumc2, lumc3 are the measured screen brightness when using only one of the three primary colors; levelc1, levelc2, levelc3 are the hardware brightness levels; lumc1,max, lumc2,max, lumc3,max are the maximum values ​​of the measured screen brightness when using only one of the three primary colors; a1c1, a1c2, a1c3, a2c1, a2c2, a2c3, b1c1, b1c2, b1c3, BPc1, BPc2, BPc3 are all fitting parameters; min(·) is the minimum value function; max(·) is the maximum value function; It should be noted that after obtaining the actual screen brightness at different hardware brightness levels, the formula in S40302 can be used for data fitting to obtain the functional relationship between the actual screen brightness and the hardware brightness level in the form of a power function when displaying each of the three primary colors. However, sometimes the power function cannot 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 for data fitting is less than 95%, the piecewise power function in S40303 can be used for data fitting instead; When fitting data, the goodness of fit is calculated as follows: ; 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; 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; 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 in use, data conversion can be performed on the transmitted image with specific color and specific brightness for color resolution tasks, and the 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, and 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: S50301. Use the following formula to convert the brightness of the first color and the second color used for distinguishing in the transmitted image into the brightness corresponding to the three primary colors of the display device: ; ; ; Among them, lum(x,y)c1, lum(x,y)c2 and lum(x,y)c3 represent the brightness of the point with coordinates (x,y) in the color visual stimulation image, which corresponds to the brightness of the three colors c1, c2 and c3 in the three primary colors; l(x,y)color1 and l(x,y)color2 represent the brightness of the point with coordinates (x,y) in the color visual stimulation image, which corresponds to the brightness of the first color color1 and the second color color2 required to be distinguished; Ratiocolor1, c1, Ra Ratiocolor1, c2 and Ratiocolor1, c3 represent the brightness ratios of c1, c2 and c3 in the mixed light of the first color when the three primary colors c1, c2 and c3 are mixed to make the first color color1; Ratiocolor2, c1, Ratiocolor2, c2 and Ratiocolor2, c3 represent the brightness ratios of c1, c2 and c3 in the mixed light of the second color when the three primary colors c1, c2 and c3 are mixed to make the second color color2; S50302. According to the functional relationship between the actual screen brightness and the hardware brightness level obtained in S10302, lum(x,y)c1, lum(x,y)c2, and lum(x,y)c3 obtained in S50301 are converted into hardware brightness levels levelc1, levelc2, and levelc3 corresponding to the three primary colors to be used in actual presentation. Then, according to the principle of rounding, levelc1, levelc2, and levelc3 are converted into levelc1′, levelc2′, and levelc3′ which are available for the display device and are closest to the theoretical values, that is: ; ; ; Among them, levelc1, levelc2 and levelc3 are the theoretical hardware brightness levels that should be used when presenting stimuli, 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; Based on the formulas in S50301-S50302 and the basic principle of rounding, we can know that levelc1, levelc2, and levelc3 can be any value greater than zero and less than the maximum hardware brightness level, but non-integer values ​​cannot be used in actual presentation. Only the closest positive integers levelc1′, levelc2′, and levelc3′ can be used. Therefore, when the image is actually presented, there is often a deviation between the theoretical value of the color brightness and the actual presentation value. In order to effectively reduce the deviation, the display bit depth of the display device should be above 10 bits, the higher the better. However, it should be emphasized that if the first color and the second color used for the color resolution task are not the three primary colors of the display device, but other colors mixed and deployed by the three primary colors in a certain proportion, then in the above rounding process, the probability and degree of deviation will be greatly increased; To ensure the execution effect of the color discrimination task, it is also necessary to evaluate the deviation of the color brightness between the actual image presentation and the theoretical value after data conversion. When the deviation value exceeds the specified value, it should prompt "the image presentation color is inaccurate"; Optionally, the specific method for evaluating the brightness and color deviation of the image when it is actually presented in step S10104 is: Compare the differences between the theoretical hardware brightness levels levelc1, levelc2 and levelc3 that should be presented on all pixels of the image and the actual hardware brightness levels levelc1′, levelc2′ and levelc3′ that are actually applied. If the brightness deviation of any of the three primary colors displayed on any pixel exceeds the first value, a prompt "the image presents inaccurate colors" is displayed. Preferably, the first value is 0.10; It should be noted that the brightness perception of visual images by organisms is often based on the average over time. For example, if a light is constantly turned on and off, the observer will feel that the light is constantly flickering; but if the speed at which the light is turned on and off exceeds a certain value, the observer will not feel that the light is flickering, but that the light is always on, but the brightness of the light is a little dimmer than usual. Therefore, optionally, for the deviation in color brightness between the actual presentation of the aforementioned image and the theoretical value, image dithering technology can be used to compensate for the color brightness. The specific steps are: S70301. According to the difference between the theoretical hardware brightness level that should be presented and the actual hardware brightness levels levelc1′, levelc2′ and levelc3′ (i.e., levelc1 - levelc1′, levelc2 -levelc2′ and levelc3 - levelc3′) of the actual application, 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 three primary colors of the display given in S50301, calculate the brightness deviation value of the first / second color used for color resolution (i.e., Devcolor1 and Devcolor2); S70302. 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 according to the following formula: ; Wherein, Devcolor1 and Devcolor2 represent the brightness deviation values ​​of the first / second color used for color resolution, respectively, lumcolor1 represents the brightness that the first color color1 in the image should present; without loss of generality, it is assumed 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 the 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 the image; S70303, when the display device actually presents the image, the area corresponding to the second color in the image is displayed normally (i.e., the number of frames of RefreshRate is presented per second), but the area corresponding to the first color is presented only the number of frames of (RefreshRate- MVRefreshRate, color1) per second, and in the remaining number of frames of MVRefreshRate, color1, the area corresponding to the first color is presented in black; It should be noted that the missing frames should be inserted into the actual displayed frames, and the missing frames should not be displayed continuously as much as possible. For example, if the refresh rate of the display device is 120Hz, that is, 120 frames are refreshed in 1 second, and MVRefreshRate, color1 is 12 frames, then the area corresponding to the first color only presents 120-12=108 frames per second, and the area corresponding to the first color in the remaining 12 frames is black. In the actual presentation, try not to "present the first color continuously for the first 108 frames in 1 second, and present black continuously for the last 12 frames". You can choose to randomly insert the 12 black frames into the 108 frames presented normally, such as "9 frames present the first color normally and 1 frame presents black in every 10 frames presented continuously". Since the normal presented frames and black appear alternately, the measured person will feel that the image is a little jittery. However, when the screen refresh rate is high and MVRefreshRate, color1 is small, the jitter is very small and will not significantly affect the execution of the color discrimination task.

[0019] The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The influencing weight factor and specific coefficient value in the formula are set by technical personnel in this field according to actual conditions, and can be adjusted and modified later.

[0020] 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 apparent to those skilled in the art, and the general principles defined herein may 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 the embodiments shown herein, but will conform 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 a color resolution task, characterized in that: The specific steps include: S10101: Evaluate the uniformity of brightness distribution within the display area of ​​the display device; S10102: In the display area, evaluate the functional relationship between the hardware brightness level indicated by the bit depth of the display device and the actual brightness of the screen when the display device is used to display any one of the three primary colors for monochrome display; S10103: When the display device is in use, data conversion is performed on the received image with specific color and specific brightness for the color resolution task; and the 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 resolution tasks according to claim 1, characterized in that: The specific method for evaluating the uniformity of brightness distribution in step S10101 is: S20101: In a display area of ​​a display device, any one of the three primary colors is selected for display, and a maximum hardware brightness level indicated by a bit depth of the display device is used to perform a monochrome maximum brightness display; S20102: Divide the display area into a preset number of brightness evaluation areas with the same area; S20103: In each brightness evaluation area, randomly select a preset number of areas to evaluate display brightness, and use the average of the evaluation results as the evaluation brightness of the area; S20104: Compare the evaluation results of all areas. If the difference between the maximum and minimum values ​​of the evaluation brightness does not exceed the preset brightness threshold, it is determined that the uniformity of the brightness distribution of the display area meets the requirements under the current color; otherwise, it is determined that it does not meet the requirements; S20105: Select the other two colors of 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 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 resolution task; otherwise, it is determined that it does not meet the requirements.

3. The method for evaluating and using a display device for color resolution tasks according to claim 2, characterized in that: If the uniformity of the brightness distribution in the display area in S10101 does not meet the requirements, the display area and the use distance of the display device can be re-determined by the following method: S30101: Find a local area whose brightness distribution meets the requirements in the existing display area, and redefine the local area as the image display area used for the color discrimination task; S30102: Re-determine the use distance of the display device according to the size of the original display area and the re-determined display area.

4. The method for evaluating and using a display device for color resolution tasks according to claim 1, characterized in that: 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 a monochrome display mode, according to the hardware brightness level indicated by the bit depth of the display device, evaluate and record the actual screen brightness at each hardware brightness level in the display area one by one; S40102: fitting the evaluation data using a formula to obtain fitting parameters, and determining a functional relationship between the actual screen brightness and the hardware brightness level in a monochrome display mode; S40103: Evaluate the goodness of fit of the data in S40102. If the goodness of fit obtained when fitting the data using the formula in S40102 is lower than a preset value when displaying any of the three primary colors, the data under that color is refitted using the piecewise power function.

5. The method for evaluating and using a display device for color resolution tasks according to claim 1, characterized in that: 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, and then 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 according to the principle of rounding.

6. The method for evaluating and using a display device for color resolution tasks according to claim 1, characterized in that: In step S10104, the deviation of the color brightness between the actual image presentation and the theoretical value is evaluated, and the specific method is as follows: Compare all the pixels of the image. If the brightness deviation of any of the three primary colors at any pixel exceeds the preset value, the prompt "the image color is inaccurate" will be displayed.

7. The method for evaluating and using a display device for color resolution tasks according to claim 6, characterized in that: When the brightness deviation of any one 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 for color resolution based on the difference between the theoretical hardware brightness level that should be presented and the actual hardware brightness level actually applied, 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 given in S50101 and the brightness of the three primary colors displayed; S70102: Calculate, according to a formula, 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.

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