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

Abstract

The invention discloses a display method and device of a display device, an electronic device and a storage medium, is applied to the technical field of display devices, and aims to solve the problems that a scheme for eliminating a low-gray image scanning line in the prior art is high in cost and complex in operation, and cannot meet the requirements of high experience and low cost. The method comprises the following steps: collecting a current image displayed by display equipment; determining a current display state of the display equipment according to the current image; determining a target power supply parameter corresponding to the current display state according to a preset mapping relationship between the display state and the power supply parameter; performing power supply parameter adjustment on the display equipment based on the target power supply parameter; the scanning line phenomenon of the display equipment can be improved, additional hardware equipment does not need to be added, the operation is simple, the user experience can be improved, and the equipment cost can be reduced.

Description

Technical Field

[0001] This invention relates to the field of display device technology, and in particular to a display method, apparatus, electronic device, and storage medium for a display device. Background Technology

[0002] Due to its inherent characteristics, LED (Light-Emitting Diode) display technology has a relatively low refresh rate for row and column driving in low-grayscale display scenarios. This aligns with the low refresh rate of the human eye during blinking and eye movement, making the two frequencies quite similar. This characteristic allows the human eye to clearly observe the scan lines on the screen. In application scenarios such as conference rooms, where there are often many attendees and low ambient lighting, participants need to stare at the screen for extended periods, which can easily lead to visual fatigue. When LED displays show low-grayscale images, the human eye's sensitivity to scan line flicker is further increased, causing attendees to lose focus and become distracted. This not only exacerbates visual fatigue but also seriously affects overall meeting efficiency and reduces the user experience of the LED display device.

[0003] To address the scan line issue in low-grayscale displays, one approach involves using high-performance chips. However, this method fails to effectively eliminate scan lines, significantly increases hardware costs, and is cumbersome and difficult to implement, hindering practical application. Another approach is to replace the display with a higher-performance integrated circuit (IC), but this also significantly increases hardware costs, failing to meet market demands for high-performance, low-cost LED display devices.

[0004] Therefore, how to effectively improve the scan line phenomenon of display devices using a low-cost, high-experience method has become a problem that needs to be solved by those skilled in the art. Summary of the Invention

[0005] The purpose of this invention is to provide a display method, apparatus, electronic device, and computer-readable storage medium for a display device, which can improve the scan line phenomenon of the display device, without the need for additional hardware, is simple to operate, not only improves the user experience, but also reduces the cost of the device.

[0006] To address the aforementioned technical problems, the embodiments of the present invention provide the following technical solutions: This invention provides a display method for a display device, comprising: Acquire the current image displayed by the display device; The current display state of the display device is determined based on the current image; Based on the pre-set mapping relationship between display status and power supply parameters, the target power supply parameters corresponding to the current display status are determined; The power supply parameters of the display device are adjusted based on the target power supply parameters.

[0007] In one implementation, determining the current display state of the display device based on the current image includes: Based on the current image and historical images, the target images corresponding to the most recent consecutive preset frames are determined. Based on each of the target images, determine the low grayscale parameter and high brightness parameter corresponding to each target image; The current display state of the display device is determined by combining the low grayscale parameters and high brightness parameters corresponding to each target image.

[0008] In one implementation, determining the low grayscale parameter and high brightness parameter corresponding to each of the target images includes: For each target image, the target image is divided into multiple image regions according to a preset division method; For each of the image regions, each low grayscale pixel and each high brightness pixel in the image region are determined; Based on the total number of pixels corresponding to each of the image regions, each of the low grayscale pixels and each of the high brightness pixels, and combined with the weight coefficients corresponding to each of the image regions, the low grayscale weighted average proportion and the high brightness weighted average proportion of the target image are determined; wherein, the low grayscale weighted average proportion is the low grayscale parameter, and the high brightness weighted average proportion is the high brightness parameter.

[0009] In one implementation, dividing the target image into multiple image regions according to a preset division method includes: The target image is divided into image regions corresponding to the central main region, the upper left region, the upper right region, the lower left region, and the lower right region according to a preset division method; wherein, the screen occupancy percentage of the central main region is greater than that of the other regions, and the screen occupancy percentages of the other regions are the same.

[0010] In one implementation, determining the current display state of the display device by combining the low grayscale parameters and high brightness parameters corresponding to each of the target images includes: If an abnormal image is found, the presence of an abnormal target image is determined based on the weighted average proportion of low grayscale corresponding to each of the target images. The final low-grayscale weighted average proportion and the final high-brightness weighted average proportion of the abnormal target image are determined by using the low-grayscale weighted average proportion and the high-brightness weighted average proportion of other normal target images. The average proportion of low grayscale and the average proportion of high brightness of each target image are determined by using the low grayscale weighted average proportion and the high brightness weighted average proportion of each other normal target image, as well as the final low grayscale weighted average proportion and the final high brightness weighted average proportion of the abnormal target image. The low grayscale ratio trend change parameter is determined by using the low grayscale weighted average ratio of other normal target images and the final low grayscale weighted average ratio of the abnormal target image. If there are no abnormal target images, the average proportion of low grayscale and the average proportion of high brightness of each target image are determined according to the low grayscale weighted average proportion and the high brightness weighted average proportion of each target image respectively. Based on the low grayscale weighted average proportion of each target image, the low grayscale proportion trend change parameter is determined. If the absolute value of the low grayscale ratio trend change parameter is less than a preset threshold, and the average low grayscale ratio is greater than or equal to the preset ratio threshold, then the current display state of the display device is determined to be a low grayscale state; if the average high brightness ratio is greater than or equal to the preset ratio threshold, then the current display state of the display device is determined to be a high brightness state.

[0011] In one embodiment, determining the target power supply parameter corresponding to the current display state based on a pre-set mapping relationship between display states and power supply parameters includes: The current gear is determined based on the pre-set mapping relationship between the display status and the gear. Based on the pre-set mapping relationship between gear levels and power supply parameters, the target power supply parameters corresponding to the current display state are determined.

[0012] In one embodiment, the power supply parameters include red light current, green light current, and blue light current.

[0013] Another aspect of the present invention provides a display device for a display apparatus, comprising: The acquisition module is used to acquire the current image displayed by the display device; The first determining module is used to determine the current display state of the display device based on the current image; The second determining module is used to determine the target power supply parameters corresponding to the current display state based on a pre-set mapping relationship between display state and power supply parameters. An adjustment module is used to adjust the power supply parameters of the display device based on the target power supply parameters.

[0014] Another aspect of the present invention provides an electronic device, comprising: Memory, used to store computer programs; A processor, configured to execute the computer program to implement the steps of the display method of the display device as described above.

[0015] In another aspect, the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the display method of the display device as described above.

[0016] As can be seen from the above technical solutions, the embodiments of the present invention have the following advantages: This invention provides a display method for a display device. The method involves acquiring the current image displayed on the display device, determining the current display state based on the image, further determining the target power supply parameter corresponding to the current display state by combining a pre-set mapping relationship between the display state and power supply parameters, and then adjusting the power supply parameters of the display device according to these parameters to adjust the display effect. This application can improve the scan line phenomenon of display devices without adding additional hardware, is simple to operate, improves user experience, and reduces equipment costs.

[0017] Furthermore, the present invention also provides corresponding implementation devices, electronic devices, and computer-readable storage media for the display method of the display device, further making the method more practical, and the devices, electronic devices, and computer-readable storage media have corresponding advantages. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the prior art and embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a schematic flowchart illustrating a display method for a display device according to an embodiment of the present invention. Figure 2 A flowchart for determining the current display state of a display device based on the current image, provided as an embodiment of the present invention; Figure 3 A flowchart for determining the current display state of a display device based on low grayscale parameters and high brightness parameters of various target images, provided as an embodiment of the present invention; Figure 4This is a schematic diagram of the structure of a display device provided in an embodiment of the present invention; Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention; Figure 6 This is a schematic diagram of the structure of a computer-readable storage medium provided in an embodiment of the present invention. Detailed Implementation

[0020] This invention provides a display method, apparatus, electronic device, and computer-readable storage medium for a display device, which can improve the scan line phenomenon of the display device without adding additional hardware, is simple to operate, not only improves the user experience, but also reduces the device cost.

[0021] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] Please refer to Figure 1 , Figure 1 This is a schematic flowchart illustrating a display method for a display device according to an embodiment of the present invention. The display method includes the following steps S110 to S140.

[0023] S110: Acquire the current image displayed by the display device.

[0024] It should be noted that the display device in this application embodiment can be an LED all-in-one machine. During the process of the display device displaying the screen, the current image currently displayed by the display device can be obtained, that is, the image currently displayed on the display screen of the display device can be obtained.

[0025] S120: Determine the current display state of the display device based on the current image.

[0026] Understandably, after acquiring the current image, its display can be further analyzed to determine the current display state of the display device. Specifically, the low-grayscale pixels and high-brightness pixels of the current image can be analyzed to determine whether the display device is currently in a low-grayscale or high-brightness state.

[0027] S130: Determine the target power supply parameters corresponding to the current display state based on the pre-set mapping relationship between display state and power supply parameters.

[0028] In other words, the power supply parameters corresponding to different display states are preset in this embodiment. That is, in a certain display state, by adjusting the display through the corresponding power supply parameters, the display can achieve a preset refresh rate and a corresponding target brightness. Under the preset refresh rate and target brightness, scan lines can be eliminated to a certain extent. Therefore, when setting the mapping relationship between display states and power supply parameters in this embodiment, it should be based on the premise that the display device can achieve the preset refresh rate and target brightness under the corresponding power supply parameters, thereby achieving the effect of eliminating scan lines.

[0029] Therefore, in this embodiment of the application, the target power supply parameter corresponding to the current display state can be determined based on the current display state and the pre-set mapping relationship between the display state and the power supply parameter.

[0030] S140: Adjust the power supply parameters of the display device based on the target power supply parameters.

[0031] Understandably, after determining the target power supply parameters corresponding to the current display state, the power supply parameters of the display device can be further adjusted using these target power supply parameters. Specifically, the power supply parameters (such as the power supply current) of the display device's IC driver unit can be adjusted.

[0032] In one embodiment, the process of determining the current display state of the display device based on the current image in S110 above should be followed... Figure 2 It may include the following steps S210 to S230.

[0033] S210: Based on the current image and historical images, determine the target images corresponding to the most recent consecutive preset frames.

[0034] It should be noted that, in order to improve the accuracy of the display device in determining the current display state, filter out instantaneous fluctuations, and output a stable state in this embodiment of the application, the target images corresponding to the most recent consecutive preset frames can be determined based on the current image and the previously recorded historical images. The most recent consecutive preset frames can be the most recent three consecutive frames, that is, the most recent two consecutive target images other than the current image are determined, and the current image is taken as the latest target image, for a total of three consecutive target images.

[0035] S220: Based on each target image, determine the low grayscale parameters and high brightness parameters corresponding to each target image.

[0036] After identifying the target images corresponding to the most recent consecutive preset frames, the low grayscale parameters and high brightness parameters corresponding to each target image are determined. For example, for the most recent three consecutive target images, the low grayscale parameters and high brightness parameters of target image 1, target image 2, and target image 3 are determined.

[0037] S230: Determine the current display state of the display device by combining the low grayscale parameters and high brightness parameters corresponding to each target image.

[0038] Furthermore, after obtaining the low grayscale parameters and high brightness parameters corresponding to each target image, the current display state of the display device can be determined based on the low grayscale parameters and high brightness parameters of each target image.

[0039] In one embodiment, the process of determining the low grayscale parameter and high brightness parameter corresponding to each target image in S220 may include: For each target image, the target image is divided into multiple image regions according to a preset segmentation method; For each image region, identify each low-grayscale pixel and each high-brightness pixel within that region. Based on the total number of pixels corresponding to each image region, each low grayscale pixel, and each high brightness pixel, and combined with the weight coefficients corresponding to each image region, the low grayscale weighted average proportion and high brightness weighted average proportion of the target image are determined; whereby the low grayscale weighted average proportion is the low grayscale parameter, and the high brightness weighted average proportion is the high brightness parameter.

[0040] It should be noted that, in the embodiments of this application, for each target image, the target image can be divided into multiple image regions according to a preset division method, and for each image region of the target image, each low grayscale pixel and each high brightness pixel can be determined according to the pixel value of each pixel in the image region.

[0041] The system allows for pre-setting display device application scenarios and grayscale range division rules. Specifically, for 8-bit grayscale (value range 0-255, corresponding to 0-100% brightness mapping), the grayscale range can be divided according to scenario requirements. For example, in general scenarios, the low grayscale range can correspond to pixel values ​​of 0-127 (corresponding to a brightness percentage of 0-50%), covering dark areas and transitional grayscale regions; the high-brightness range can correspond to pixel values ​​of 128-255 (corresponding to a brightness percentage of 51%-100%), covering bright areas and highlights. In conference room scenarios, the low grayscale range can be expanded to 0-150 (adapting to low grayscale sensitivity requirements in dark environments), and the high-brightness range to 151-255. In exhibition hall scenarios, the low grayscale range narrows to 0-80 (adapting to high-brightness dominance requirements in bright environments), and the high-brightness range can be expanded to 81-255. Of course, the specific division between the low gray area and the high brightness area can be determined according to the actual situation, and this application does not impose any special restrictions on this.

[0042] Therefore, based on the aforementioned application scenarios and grayscale interval division rules, the application scenario of the display device can be determined, and the corresponding pixel value ranges for the low grayscale interval and high brightness interval can be further determined. Then, for each image region of the target image, the pixel value of each pixel in that image region is matched with the pixel value ranges corresponding to the low grayscale interval and high brightness interval, thereby identifying each low grayscale pixel and each high brightness pixel. In practical applications, it can be determined whether the pixel value is less than or equal to the upper limit of the low grayscale interval (e.g., 127 in a common scenario). If so, the pixel is a low grayscale pixel and can be recorded as category "0". It can also be determined whether the pixel value is greater than or equal to the lower limit of the high brightness interval (e.g., 128 in a common scenario). If so, the pixel is a high brightness pixel and can be recorded as category "1". In this embodiment of the application, a corresponding weight coefficient can be set for each image region according to a preset division method. Then, based on the total number of pixels corresponding to each image region, each low grayscale pixel and each high brightness pixel, and the weight coefficient corresponding to each image region in the target image, the low grayscale weighted average proportion and high brightness weighted average proportion of the target image are determined, thereby determining the low grayscale parameter and high brightness parameter of the target image.

[0043] In one implementation, the process of dividing the target image into multiple image regions according to a preset division method may include: The target image is divided into four regions according to a preset division method: the central main region, the upper left region, the upper right region, the lower left region, and the lower right region. The central main region occupies a larger percentage of the screen than the other regions, while the other regions occupy the same percentage of the screen.

[0044] It should be noted that, in this embodiment, the preset division method of the displayed image can be determined based on the size of the display screen of the display device, so as to obtain more representative image data from the images displayed on the screen, thereby balancing analysis efficiency and accuracy. Specifically, the screen area can be divided into multiple regions according to the preset division method. For the display device screen, assuming a physical resolution of W×H, and pixel coordinates from 0 to W-1 horizontally (i.e., from the first column pixel to the Wth column pixel) and from 0 to H-1 vertically (i.e., from the first row pixel to the Hth row pixel), then five fixed regions can be selected for the display device screen. That is, each image displayed on the screen is also correspondingly divided into these five fixed regions: the central main region, the upper left region, the upper right region, the lower left region, and the lower right region. The upper left, upper right, lower left, and lower right regions are the four corner auxiliary regions. The central main area can be [W×0.25, W×0.75] horizontally and [H×0.25, H×0.75] vertically, occupying 25% of the screen area (the core focus area of ​​the human eye); the four auxiliary areas are as follows: the upper left area can be [W×0.05, W×0.20] horizontally and [H×0.05, H×0.20] vertically; the upper right area can be [W×0.80, W×0.95] horizontally and [H×0.05, H×0.20] vertically; the lower left area can be [W×0.05, W×0.20] horizontally and [H×0.80, H×0.95] vertically; and the lower right area can be [W×0.80, W×0.95] horizontally and [H×0.80, H×0.95] vertically.

[0045] In practical applications, each auxiliary area (i.e., the upper left area, upper right area, lower left area, and lower right area) occupies 5% of the screen area, totaling 20% ​​for the four areas. The central main area occupies 25% of the screen area, and the total sampling area of ​​the fixed areas accounts for 45%, covering the central and edge areas that the human eye usually focuses on.

[0046] It should be noted that the process of determining the weighted average proportion of low grayscale and the weighted average proportion of high brightness in the target image based on the total number of pixels corresponding to each image region, each low grayscale pixel, and each high brightness pixel, combined with the weight coefficients corresponding to each image region, may include: Based on the total number of pixels corresponding to each image region, each low-grayscale pixel, and the weight coefficient corresponding to each image region, the weighted average proportion of low-grayscale pixels in the target image is obtained using the first calculation formula; wherein, the first calculation formula is: ;P 低灰,acg This indicates the proportion of the low-grayscale weighted average. wi This represents the weight of the i-th image region. n 低灰,i This represents the total number of low grayscale pixels in the i-th image region. N i This represents the total number of pixels in the i-th image region. The total number of pixels in i is 5, which means that the image regions corresponding to the central main region, the upper left region, the upper right region, the lower left region, and the lower right region are respectively.

[0047] Based on the total number of pixels corresponding to each image region, each high-brightness pixel, and the weight coefficient corresponding to each image region, the low-grayscale weighted average proportion of the target image is obtained using the second calculation formula; wherein, the second calculation formula is: P 高亮,acg This indicates the weighted average percentage of high brightness. n 高亮,i This represents the total number of high-brightness pixels in the i-th image region.

[0048] In practical applications, regional weights can be assigned based on human visual characteristics (calibrated through eye-tracking tests of 100 people: in a conference room scenario, users' fixation time on the central area accounted for 72%, and the four corners accounted for 18%, and the weights were determined by fitting the data), to accurately calculate the grayscale ratio. The weight coefficients for each region can be: 1.5 for the central main region (focus area), and 0.8 for the four corner auxiliary regions (edge ​​attention areas).

[0049] In one implementation, the process of determining the current display state of the display device in S230 by combining the low grayscale parameters and high brightness parameters corresponding to each target image is as follows: Figure 3 As shown, the steps may include the following steps S310 to S350.

[0050] S310: Determine whether there is an abnormal target image based on the low grayscale weighted average proportion corresponding to each target image; if there is an abnormal image, proceed to S320; if there is no abnormal image, proceed to S350.

[0051] It should be noted that, in this embodiment, after obtaining the target images corresponding to the most recent preset consecutive frames, and the low grayscale weighted average proportion and high brightness weighted average proportion of each target image, it is possible to determine whether there are abnormal target images among these target images based on the low grayscale weighted average proportion of each target image. In practical applications, three preset consecutive frames of target images can be obtained, namely target image 1 (time t), target image 2 (time t-1), and target image 3 (time t-2), and the low grayscale weighted average proportions of target image 1, target image 2, and target image 3 are respectively P 低灰1 P低灰2 P 低灰3 The weighted average proportions of high brightness in target image 1, target image 2, and target image 3 are respectively P 高亮1 P 高亮2 P 高亮3 This method can determine the first and second differences between the low-grayscale weighted average proportion of any one of the three most recent consecutive target images (target image 1, target image 2, and target image 3) and the low-grayscale weighted average proportion of the other two target images. This yields a set of first and second differences corresponding to each target image frame. Then, for each set of first and second differences, the first difference is compared with the second difference. If the deviation between the first and second differences is greater than a first preset value, it indicates that the target image corresponding to that first and second difference is an abnormal target image. The first preset value can be 20%, and in practical applications, this value can be determined by testing instantaneous fluctuation differences across a large number of (e.g., 1000+) dynamic frames.

[0052] In addition, after obtaining a set of first differences and second differences corresponding to the three most recent consecutive target images, for each set of first differences and second differences, the first difference and the second difference of that set are compared. If the deviation between the first difference and the second difference of that set is less than or equal to a first preset value, and the deviation between the first difference and the second difference of each set is less than or equal to the first preset value, it indicates that the target images of these three consecutive frames are all normal images.

[0053] S320: Using the low grayscale weighted average proportion and high brightness weighted average proportion of other normal target images, determine the final low grayscale weighted average proportion and the final high brightness weighted average proportion of the abnormal target image.

[0054] It should be noted that, in this embodiment of the application, after identifying the abnormal image, in order to improve the accuracy of determining the display state, the final low-grayscale weighted average ratio and the final high-brightness weighted average ratio of the abnormal target image can be further determined based on the low-grayscale weighted average ratio and the high-brightness weighted average ratio corresponding to other normal target images in the most recent consecutive preset frames of target images. For example, for a preset three consecutive frames of target images, after identifying the abnormal target image, an average low-grayscale ratio can be calculated using the low-grayscale weighted average ratio of the other two normal target images, and this average low-grayscale ratio can be used as the final low-grayscale weighted average ratio of the abnormal target image; an average high-brightness ratio can be calculated using the high-brightness weighted average ratio of the other two normal target images, and this average high-brightness ratio can be used as the final high-brightness weighted average ratio of the abnormal target image.

[0055] For example, if target image 2 in target image 1, target image 2, and target image 3 is an abnormal target image, then the low grayscale weighted average proportions corresponding to target image 1 and target image 3 can be used to calculate an average low grayscale proportion, and this average low grayscale proportion can be used as the final low grayscale weighted average proportion P of target image 2. 低灰2 Using the high-brightness weighted average proportions corresponding to target images 1 and 3 respectively, an average high-brightness proportion is calculated. This average high-brightness proportion is then used as the final high-brightness weighted average proportion P of target image 2. 高亮2 '.

[0056] S330: By using the low grayscale weighted average proportion and high brightness weighted average proportion of other normal target images, and the final low grayscale weighted average proportion and final high brightness weighted average proportion of abnormal target images, the low grayscale average proportion and high brightness average proportion of each target image are determined.

[0057] Understandably, after determining the final low-grayscale weighted average proportion and the final high-brightness weighted average proportion of the abnormal target image, the low-grayscale weighted average proportion of each target image can be further calculated using the low-grayscale weighted average proportion of other normal target images and the final low-grayscale weighted average proportion of the abnormal target image. Similarly, the high-brightness weighted average proportion of each target image can be calculated using the high-brightness weighted average proportion of other normal target images and the final high-brightness weighted average proportion of the abnormal target image.

[0058] For example, for three consecutive frames of target image 1, target image 2, and target image 3, the average proportion of low grayscale is calculated as P_low_gray, avg = (P_low_gray) / (P_low_gray) 低灰1 +P 低灰2 '+P 低灰3 ) / 3, calculate the average proportion of high brightness P, avg=(P 高亮1 +P 高亮2 '+P 高亮3 ) / 3.

[0059] S340: The low grayscale ratio trend change parameter is determined by using the low grayscale weighted average ratio of other normal target images and the final low grayscale weighted average ratio of abnormal target images.

[0060] It should be noted that, in order to determine the overall trend stability of the grayscale distribution of the image in this embodiment, the low grayscale weighted average proportion of each normal target image and the final low grayscale weighted average proportion P of the abnormal target image can be used as a reference. 低灰2The low grayscale ratio trend change parameter K is determined. With a recent consecutive preset frame count of 3 frames, the low grayscale ratio trend change parameter K can be obtained according to the third calculation formula. Here, K represents the average relative change rate of the low grayscale ratio between two consecutive frames, reflecting the overall trend stability of the image's grayscale distribution. The third calculation formula is: That is, P 低灰2 The specific value of ' is substituted into P in the third calculation formula. 低灰2 Thus, the corresponding K can be obtained.

[0061] It is understood that the purpose of this application embodiment is to solve the "low grayscale scan line problem". Therefore, the low grayscale ratio is the core indicator for determining whether the image is in a "low grayscale scene that needs to optimize scan lines". Since low grayscale pixels and high brightness pixels are classified as "either / or" (P low grayscale, avg + P high brightness, avg ≈ 100%), the trend of low grayscale ratio and the trend of high brightness ratio are completely opposite and synchronous. That is, if |K| < 5% (low grayscale ratio trend is stable), then the trend of high brightness ratio will necessarily be synchronous and stable. Therefore, in this application embodiment, the low grayscale ratio trend change parameter K is calculated by the low grayscale weighted average ratio of each target image. There is no need to calculate "K high brightness" separately, which can reduce the system's computational load, simplify the logic, and improve the overall processing efficiency.

[0062] S350: Determine the average proportion of low grayscale and the average proportion of high brightness of each target image based on the low grayscale weighted average proportion and the high brightness weighted average proportion of each target image respectively.

[0063] It is understandable that, after determining that each target image is a normal image, for example, for three consecutive target images, the low grayscale weighted average proportions of target image 1, target image 2, and target image 3 are respectively P 低灰1 P 低灰2 P 低灰3 The weighted average proportions of high brightness in target image 1, target image 2, and target image 3 are respectively P 高亮1 P 高亮2 P 高亮3 Then, the average low grayscale weighted average proportion can be directly calculated based on the respective low grayscale weighted average proportions of each target image, thus obtaining the low grayscale average proportion: P_low_gray, avg = (P_low_gray, avg) 低灰1 +P 低灰2 +P 低灰3 ) / 3. The average high-brightness average proportion is obtained by averaging the weighted average proportions of high brightness for each target image: Phighlight, avg = (Phighlight, avg = Phighlight) / 3. 高亮1 +P 高亮2 +P 高亮3 ) / 3.

[0064] S360: Determine the low grayscale ratio trend change parameter based on the low grayscale weighted average ratio corresponding to each target image.

[0065] It should be noted that when all target images are normal images, for example, for three consecutive target images with a preset frame count, the low grayscale ratio trend change parameter K can be obtained according to the third calculation formula. Here, K represents the average relative change rate of two consecutive low grayscale ratio frames, reflecting the overall trend stability of the image's grayscale distribution. The third calculation formula is: .

[0066] S370: If the absolute value of the low grayscale ratio trend change parameter is less than the preset threshold, and the average low grayscale ratio is greater than or equal to the preset ratio threshold, then the current display state of the display device is determined to be low grayscale state; if the average high brightness ratio is greater than or equal to the preset ratio threshold, then the current display state of the display device is determined to be high brightness state.

[0067] It should be noted that after obtaining the K value, we can determine whether K satisfies |K| < 5%. If it does, it indicates that the grayscale trend of the image is stable. At this point, we can further determine whether the average proportion of low grayscale, P_low_grayscale, is greater than or equal to 50%. If so (i.e., P_low_grayscale, avg ≥ 50%), it indicates that the current display state of the display device is a low grayscale state. We can further determine whether the average proportion of high brightness, P_high_brightness, avg, is greater than or equal to 50%. If so (i.e., P_high_brightness, avg ≥ 50%), it indicates that the current display state of the display device is a high-brightness state.

[0068] In one embodiment, the process of determining the target power supply parameter corresponding to the current display state in S130 according to a pre-set mapping relationship between display states and power supply parameters may include: The current gear is determined based on the pre-set mapping relationship between the display status and the gear. Based on the pre-set mapping relationship between gear levels and power supply parameters, the target power supply parameters corresponding to the current display status are determined.

[0069] It should be noted that the mapping relationship between the display state and the gear position, as well as the mapping relationship between the gear position and the power supply parameters set in the embodiments of this application, can be found in Parameter Table 1. The power supply parameters may include red light current, green light current, and blue light current.

[0070] Table 1. Display Status and Power Supply Parameter Mapping Table

[0071] It is understood that, in this embodiment of the application, by sending and receiving the image refresh rate and setting the module IC current gain to "low" or "high" (the current percentage reference is "IC maximum rated drive current"), two sets of current parameters with different brightness and refresh rates can be designed and pre-stored in the receiving card.

[0072] It should be noted that the luminous efficiency of the three primary colors of LEDs (red, green, and blue) varies significantly (green has the highest efficiency, followed by red, and blue has the lowest). Setting the current in the same proportion would result in color distortion in the image. Therefore, the power supply parameters in this application achieve light intensity balance through differentiated currents: Because green light has 1.5-2 times the luminous efficacy of red light and 2-2.5 times that of blue light, the green light current ratio in this application is the lowest (53.9% in low brightness mode and 89.8% in high brightness mode). The target light intensity can be achieved with low current, avoiding a "greenish" image. The red light (61.7% / 99.2%) and blue light (59.4% / 97.7%) current ratios are higher to compensate for the low luminous efficacy and match the low sensitivity of the human eye to red / blue light, ensuring that the color temperature of the image is stable at 6500K standard white light (calibrated by a professional color analyzer). The current in the high brightness mode is close to but not 100%, with about 5% redundancy reserved to avoid the IC from overheating under full load for a long time (temperature reduction of 15-20℃, lifespan extension of 30%+), while also dealing with instantaneous peak image quality.

[0073] In this application's embodiments, the brightness settings are tied to the screen state and the depth of human eye perception: The low brightness setting of 400 nits (adapted to high brightness) ensures a contrast ratio of 2-4:1 in a 100-200 lux ambient light environment (e.g., a white PPT presentation) with a fatigue feedback rate of only 12% after 2 hours of viewing (lower than the 28% of 500 nits). The high brightness setting of 600 nits (adapted to low grayscale) requires a high current to stabilize the refresh rate for low grayscale images. Therefore, when the brightness increases to 600 nits, the driving current increases synchronously, accelerating the row and column refresh rates, and reducing the scan line perception rate from 35% at 3000Hz to 0%. Simultaneously, 600 nits enhances the grayscale gradation in dark areas, preventing detail loss. The difference between the low and high brightness settings in this application is 200 nits, with a brightness change rate of 50%, falling within the range of "perceptible but non-jumping" for the human eye, thus avoiding screen flickering during mode switching.

[0074] Furthermore, this application achieves a refresh rate of 3840Hz by adjusting the current, as 3840Hz represents a balance between eliminating scan lines and optimizing the performance of mid-to-low-end ICs. Scan lines are perceptible at refresh rates below 3000Hz, while 3840Hz eliminates flicker in dark environments, meeting the requirements for low-grayscale images. Mainstream mid-to-low-end ICs have a maximum stable refresh rate of approximately 4000Hz, and 3840Hz provides a 5% performance redundancy to prevent refresh rate fluctuations caused by temperature increases (fluctuations ≤1%). It eliminates the need to replace high-priced, high-performance ICs (reducing costs by 2-3 times), while simultaneously reducing power consumption by 8-10% compared to refresh rates above 4000Hz.

[0075] Furthermore, in this embodiment, the current display state of the display device can be identified through an intelligent image analysis module. After identifying a low grayscale state or a high brightness state, the identified current display state result is sent to the sending card. After receiving the state signal, the sending card can send a call command for the corresponding parameters to the receiving card. The receiving card calls the pre-stored corresponding parameters according to the call command, changing the brightness and refresh mode when displaying low grayscale, thereby physically eliminating the scan line phenomenon. It should also be noted that, in order to achieve automatic adjustment and improve the display effect in this embodiment, the integrated parameter fine-tuning unit can determine whether the duration of the current state exceeds 1 second. That is, if the current state lasts for ≥1 second, it is considered a non-instantaneous state, and the brightness parameter of the current mode can be automatically fine-tuned by ±10% (from 600 nit to 540 nit / -10% or 660 nit / +10% for low gray mode, and from 400 nit to 360 nit / -10% or 440 nit / +10% for high brightness mode) to optimize the intermediate state display effect. If the duration of the current state does not exceed 1 second, it is considered an instantaneous state, and the current power supply parameters can be kept unchanged.

[0076] In practical applications, the current display status of the display device can be displayed in real time through a human-computer interaction system, and users can also make auxiliary adjustments to the display using a remote control.

[0077] The following example, based on actual test data, illustrates this solution: For the low grayscale test (dark environment + black background text), after system startup, the system can sample the 135-inch LED all-in-one machine (resolution 3840×2160) through the intelligent image analysis module, and obtain the image information of the central area [960,2880]×[540,1620], and the image information corresponding to the four corner areas [77,547]×[77,547] respectively; the average proportion of low grayscale in 3 consecutive frames is P. 低灰1 =55%, P 低灰2 =20%, P 低灰3=58%, after calibration P low gray, avg≈56.5%; based on the low gray percentage group, K≈2.7% (|K|<5%, stable trend), it is judged as a low gray state. The sending card sends the result of the low gray state to the receiving card, and the sending card sends the corresponding parameter call command to the receiving card. The receiving card calls the high brightness parameters (red light 99.2%, green light 89.8%, blue light 97.7%, target brightness 600 nits, refresh rate 3840Hz) so that the all-in-one machine receiving system can adjust the module IC current. The measured IC temperature is stable at 48℃, and the refresh rate fluctuates by 0.8%; in a dark environment test with 100 people (lights off), the scan line perception rate is 0%. Compared with the traditional solution, the clarity of dark text can be improved by 40%, and the display effect is significantly improved.

[0078] For the high-brightness test (normal conference room lighting + white background PPT), when the screen switched to a white background PPT, the proportion of high brightness for three consecutive frames was Phigh-brightness, avg≈55%, K≈3.2% (stable trend), which was judged as a high-brightness state. The system called low brightness parameters (red light 61.7%, green light 53.9%, blue light 59.4%, 400 nits, 3840Hz). The color analyzer test showed that the screen color temperature was stable at 6500K (deviation ≤2%), and the fatigue feedback rate of the participants after 2 hours was 12% (lower than the 35% of the traditional solution). When the ambient light suddenly increased to 300 lux, the system increased the brightness to 440 nits (+10%) through the brightness fine-tuning unit, and the contrast ratio was maintained at 1.5:1 with no whitening of the screen.

[0079] Therefore, this application acquires the current image displayed on the display device, determines the current display state based on the image, and further determines the target power supply parameter corresponding to the current display state by combining a pre-set mapping relationship between the display state and power supply parameters. Then, the power supply parameters of the display device are adjusted based on these parameters, thereby adjusting the display effect. This application can improve the scan line phenomenon of the display device without adding additional hardware, is simple to operate, improves the user experience, and reduces equipment costs.

[0080] It should also be noted that this application can automatically switch parameters according to the screen status, eliminating the scan line phenomenon in the low grayscale image of the LED all-in-one machine. The scan line effect is imperceptible to the human eye, and other brands of ICs can achieve the same result simply by configuring the same parameters, making the implementation method simple and easy. This application eliminates the need for complex processes such as manual remote control or operation of control software and setting and adjusting module IC data during implementation, avoiding the lag of manual operation and improving the user experience. Furthermore, this application employs IC drive current gain dynamic adjustment technology, which has stable display refresh rate. Under the same brightness output conditions, because the original grayscale mapping relationship is maintained, the pixel channel opening time ratio is not compressed, and the system refresh rate can be increased by ≥23% (based on actual measurement data). At the same time, it can effectively suppress scan lines, reducing the visual persistence intensity of line scanning to less than 40% of traditional solutions by avoiding the narrowing of the time domain signal under low grayscale. Moreover, without replacing high-priced ICs, it can effectively improve the low grayscale display effect, better meeting customers' needs for product cost.

[0081] This invention also provides a corresponding apparatus for the display method of a display device, further enhancing the practicality of the method. The apparatus can be described from both a functional module perspective and a hardware perspective. The display apparatus of the display device provided by this invention is described below. This apparatus is used to implement the display method of the display device provided by this invention. In this embodiment, the display apparatus of the display device may include or be divided into one or more program modules. These one or more program modules are stored in a storage medium and executed by one or more processors to complete the display method of the display device disclosed in the above embodiments. The program module referred to in this invention is a series of computer program instruction segments capable of performing a specific function, which is more suitable than the program itself for describing the execution process of the display device of the display device in the storage medium. The following description will specifically introduce the functions of each program module in this embodiment. The display apparatus of the display device described below can be referred to in correspondence with the display method based on the display device described above.

[0082] From the perspective of functional modules, see Figure 4 , Figure 4 A structural diagram of a display device provided by the present invention. The device may include: Acquisition module 11 is used to acquire the current image displayed by the display device; The first determining module 12 is used to determine the current display state of the display device based on the current image; The second determining module is used to determine the target power supply parameters corresponding to the current display state based on the pre-set mapping relationship between display state and power supply parameters. An adjustment module is used to adjust the power supply parameters of the display device based on the target power supply parameters.

[0083] In one implementation, the first determining module 12 may include: The first determining unit is used to determine the target images corresponding to the most recent consecutive preset frames based on the current image and historical images. The second determining unit is used to determine the low grayscale parameter and high brightness parameter corresponding to each target image based on each target image. The third determining unit is used to determine the current display state of the display device by combining the low grayscale parameters and high brightness parameters corresponding to each target image.

[0084] In one embodiment, the second determining unit includes: Sub-units are used to divide each target image into multiple image regions according to a preset division method. The first determining subunit is used to determine each low grayscale pixel and each high brightness pixel in the image region for each image region; The second determining subunit is used to determine the low grayscale weighted average proportion and high brightness weighted average proportion of the target image based on the total number of pixels corresponding to each image region, each low grayscale pixel and each high brightness pixel, and the weight coefficient corresponding to each image region; wherein, the low grayscale weighted average proportion is the low grayscale parameter, and the high brightness weighted average proportion is the high brightness parameter.

[0085] In one implementation, the sub-units are used for: The target image is divided into four regions according to a preset division method: the central main region, the upper left region, the upper right region, the lower left region, and the lower right region. The central main region occupies a larger percentage of the screen than the other regions, while the other regions occupy the same percentage of the screen.

[0086] In one embodiment, the third determining unit includes: The third determining subunit is used to determine the abnormal target image based on the low gray-scale weighted average proportion corresponding to each target image; The fourth determining subunit is used to determine the final low-grayscale weighted average ratio and the final high-brightness weighted average ratio of the abnormal target image by using the low-grayscale weighted average ratio and the high-brightness weighted average ratio of other normal target images. The fifth determining subunit is used to determine the average low grayscale ratio and average high brightness ratio of each target image by using the low grayscale weighted average ratio and high brightness weighted average ratio of each other normal target image, as well as the final low grayscale weighted average ratio and final high brightness weighted average ratio of the abnormal target image. The sixth determination subunit is used to determine the low grayscale ratio trend change parameter by using the low grayscale weighted average ratio of other normal target images and the final low grayscale weighted average ratio of abnormal target images. The seventh determining subunit is used to determine the current display state of the display device as low grayscale state if the average proportion of low grayscale is greater than or equal to the preset proportion threshold when the absolute value of the low grayscale proportion trend change parameter is less than the preset threshold; and to determine the current display state of the display device as high brightness state if the average proportion of high brightness is greater than or equal to the preset proportion threshold.

[0087] In one implementation, the second determining module includes: The third determining unit is used to determine the current gear based on the pre-set mapping relationship between the display status and the gear. The fourth determining unit is used to determine the target power supply parameters corresponding to the current display state based on the pre-set mapping relationship between the gear position and the power supply parameters.

[0088] In one implementation, the power supply parameters include red light current, green light current, and blue light current.

[0089] It should be noted that the display device provided in this application embodiment has the same beneficial effects as the display method of the display device provided in the above embodiments, and for a detailed description of the display method of the display device involved in this application embodiment, please refer to the above embodiments, which will not be repeated here.

[0090] The display device mentioned above is described from the perspective of functional modules. Furthermore, the present invention also provides an electronic device, which is described from the perspective of hardware. Figure 5 A structural diagram of an electronic device provided in an embodiment of this application, such as... Figure 5 As shown, the electronic device includes: a memory 20 for storing computer programs; The processor 21 is used to execute computer programs to implement the steps of the display method of the display device as described in the above embodiments.

[0091] The electronic devices provided in this embodiment may include, but are not limited to, smartphones, tablets, laptops, or desktop computers.

[0092] The processor 21 may include one or more processing cores, such as a quad-core processor or an octa-core processor. The processor 21 may be implemented using at least one hardware form selected from DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). The processor 21 may also include a main processor and a coprocessor. The main processor, also known as a CPU (Central Processing Unit), is used to process data in the wake-up state; the coprocessor is a low-power processor used to process data in the standby state. In some embodiments, the processor 21 may integrate a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the screen. In some embodiments, the processor 21 may also include an AI (Artificial Intelligence) processor, which is used to handle computational operations related to machine learning.

[0093] The memory 20 may include one or more computer-readable storage media, which may be non-transitory. The memory 20 may also include high-speed random access memory and non-volatile memory, such as one or more disk storage devices or flash memory devices. In some embodiments, the memory 20 may be an internal storage unit of an electronic device, such as a server hard drive. In other embodiments, the memory 20 may be an external storage device of an electronic device, such as a plug-in hard drive on a server, a smart media card (SMC), a secure digital card (SD), a flash card, etc. Furthermore, the memory 20 may include both internal and external storage units of the electronic device. The memory 20 can be used not only to store application software and various types of data installed on the electronic device, such as code of a program executing a display method of a display device, but also to temporarily store data that has been output or will be output. In this embodiment, the memory 20 is used to store at least the following computer program 201, which, after being loaded and executed by the processor 21, is capable of implementing the relevant steps of the display method of the display device disclosed in any of the foregoing embodiments. In addition, the resources stored in the memory 20 may also include an operating system 202 and data 203, and the storage method may be temporary storage or permanent storage. The operating system 202 may include Windows, Unix, Linux, etc. The data 203 may include, but is not limited to, data corresponding to the display results of the display device.

[0094] In some embodiments, the electronic device may further include a display screen 22, an input / output interface 23, a communication interface 24, a power supply 25, and a communication bus 26. The display screen 22 and input / output interface 23, such as a keyboard, are user interfaces; optional user interfaces may also include standard wired interfaces, wireless interfaces, etc. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen, etc. The display may also be appropriately referred to as a screen or display unit, used to display information processed in the electronic device and to display a visual user interface. The communication interface 24 may optionally include a wired interface and / or a wireless interface, such as a Wi-Fi interface, a Bluetooth interface, etc., typically used to establish communication connections between the electronic device and other electronic devices. The communication bus 26 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. This bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0095] Those skilled in the art will understand that Figure 5 The structures shown do not constitute a limitation on electronic devices and may include more or fewer components than those shown.

[0096] It is understood that if the display method of the display device in the above embodiments is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and executes all or part of the steps of the methods in the various embodiments of this application. The aforementioned storage medium includes: USB flash drive, mobile hard disk, read-only memory (ROM), random access memory (RAM), electrically erasable programmable ROM, register, hard disk, removable disk, CD-ROM, magnetic disk, or optical disk, and other media capable of storing program code.

[0097] Based on this, such as Figure 6As shown, this embodiment of the invention also provides a computer-readable storage medium 30, on which a computer program 31 is stored. When the computer program 31 is executed by a processor, it implements the steps of the display method of the display device described above.

[0098] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to the method section.

[0099] It should also be noted that, in this specification, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0100] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily 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 invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A display method for a display device, characterized in that, include: Acquire the current image displayed by the display device; The current display state of the display device is determined based on the current image; Based on the pre-set mapping relationship between display status and power supply parameters, the target power supply parameters corresponding to the current display status are determined; The power supply parameters of the display device are adjusted based on the target power supply parameters.

2. The display method of the display device according to claim 1, characterized in that, Determining the current display state of the display device based on the current image includes: Based on the current image and historical images, the target images corresponding to the most recent consecutive preset frames are determined; Based on each of the target images, determine the low grayscale parameter and high brightness parameter corresponding to each target image; The current display state of the display device is determined by combining the low grayscale parameters and high brightness parameters corresponding to each target image.

3. The display method of the display device according to claim 2, characterized in that, The step of determining the low grayscale parameter and high brightness parameter corresponding to each of the target images includes: For each target image, the target image is divided into multiple image regions according to a preset division method; For each of the image regions, each low grayscale pixel and each high brightness pixel in the image region are determined; Based on the total number of pixels corresponding to each of the image regions, each of the low grayscale pixels and each of the high brightness pixels, and combined with the weight coefficients corresponding to each of the image regions, the low grayscale weighted average proportion and the high brightness weighted average proportion of the target image are determined; wherein, the low grayscale weighted average proportion is the low grayscale parameter, and the high brightness weighted average proportion is the high brightness parameter.

4. The display method of the display device according to claim 3, characterized in that, The step of dividing the target image into multiple image regions according to a preset division method includes: The target image is divided into image regions corresponding to the central main region, the upper left region, the upper right region, the lower left region, and the lower right region according to a preset division method; wherein, the screen occupancy percentage of the central main region is greater than that of the other regions, and the screen occupancy percentages of the other regions are the same.

5. The display method of the display device according to claim 3, characterized in that, Determining the current display state of the display device by combining the low grayscale parameters and high brightness parameters corresponding to each of the target images includes: Based on the low grayscale weighted average proportion corresponding to each of the target images, determine whether there are any abnormal target images; If an abnormal image exists, the final low-grayscale weighted average proportion and the final high-brightness weighted average proportion of the abnormal target image are determined by using the low-grayscale weighted average proportion and the high-brightness weighted average proportion of the other normal target images. The average proportion of low grayscale and the average proportion of high brightness of each target image are determined by using the low grayscale weighted average proportion and the high brightness weighted average proportion of each other normal target image, as well as the final low grayscale weighted average proportion and the final high brightness weighted average proportion of the abnormal target image. The low grayscale ratio trend change parameter is determined by using the low grayscale weighted average ratio of other normal target images and the final low grayscale weighted average ratio of the abnormal target image. If there are no abnormal target images, the average proportion of low grayscale and the average proportion of high brightness of each target image are determined according to the low grayscale weighted average proportion and the high brightness weighted average proportion of each target image respectively. Based on the low grayscale weighted average proportion of each target image, the low grayscale proportion trend change parameter is determined. If the absolute value of the low grayscale ratio trend change parameter is less than a preset threshold, and the average low grayscale ratio is greater than or equal to the preset ratio threshold, then the current display state of the display device is determined to be a low grayscale state; if the average high brightness ratio is greater than or equal to the preset ratio threshold, then the current display state of the display device is determined to be a high brightness state.

6. The display method of the display device according to claim 5, characterized in that, The step of determining the target power supply parameters corresponding to the current display state based on a pre-set mapping relationship between display states and power supply parameters includes: The current gear is determined based on the pre-set mapping relationship between the display status and the gear. Based on the pre-set mapping relationship between gear levels and power supply parameters, the target power supply parameters corresponding to the current display state are determined.

7. The display method of the display device according to claim 5, characterized in that, The power supply parameters include red light current, green light current, and blue light current.

8. A display device for a display apparatus, characterized in that, include: The acquisition module is used to acquire the current image displayed by the display device; The first determining module is used to determine the current display state of the display device based on the current image; The second determining module is used to determine the target power supply parameters corresponding to the current display state based on a pre-set mapping relationship between display state and power supply parameters. An adjustment module is used to adjust the power supply parameters of the display device based on the target power supply parameters.

9. An electronic device, characterized in that, include: Memory, used to store computer programs; A processor, configured to implement the steps of the display method of the display device as claimed in any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the display method of the display device as described in any one of claims 1 to 7.

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