Display image quality optimization method and device, equipment and storage medium
By detecting the low grayscale areas of the OLED display, calculating the ratio of high to low grayscale values, and rearranging the sub-pixels, the problem of white balance imbalance under low brightness was solved, improving image quality and user experience.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-02-06
- Publication Date
- 2026-03-20
AI Technical Summary
In OLED displays, uneven light decay of subpixels at low brightness leads to white balance imbalance and uneven light intensity, affecting image quality.
By detecting low grayscale areas in the display, calculating the distribution ratio of high grayscale values and low grayscale values, and reallocating the arrangement of subpixels, image quality can be optimized.
While maintaining the same brightness, the display's image quality was improved, enhancing the user experience.
Smart Images
Figure CN121708859A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of display technology, and specifically relates to a display image quality optimization method, apparatus, device, and storage medium. Background Technology
[0002] OLED (Organic Light-Emitting Diode Display) is a type of display device whose display principle differs from that of LCD displays. It does not require backlighting and is self-emissive, currently widely used in civilian, medical, and military fields. At high brightness, OLED displays typically employ DC dimming, directly adjusting the current to control brightness, thus avoiding common image quality defects at low brightness. However, at low brightness, the uneven light emission attenuation of sub-pixels in OLED displays leads to white balance imbalance; simultaneously, the low driving current of sub-pixels at low brightness results in inconsistent light intensity in some areas.
[0003] However, with the increasing popularity of OLED displays and the growing demand for cultural entertainment, it is not uncommon to see OLED-related devices used in low-brightness environments such as at night.
[0004] Therefore, it is necessary to provide improved technical solutions to overcome the above-mentioned technical problems existing in the prior art. Summary of the Invention
[0005] The purpose of this application is to provide a method, apparatus, device, and storage medium for optimizing display image quality. By detecting low grayscale areas in the display, calculating the high grayscale values and low grayscale values in the area and their corresponding allocation ratios, and reallocating the arrangement of sub-pixels, the display image quality is optimized without changing the brightness, thereby improving the user experience.
[0006] To achieve the above objectives: In a first aspect, embodiments of this application provide a method for optimizing display image quality, including: Obtain the sub-pixel grayscale values of the target area in the display; In response to determining that the grayscale value of the sub-pixel meets the preset low grayscale judgment condition, the distribution ratio of high grayscale value and low grayscale value in the grayscale value of the sub-pixel is calculated. Based on the allocation ratio, a sub-pixel arrangement method for optimizing the image quality of the target area is determined.
[0007] In one embodiment, the sub-pixel grayscale values of the target area in the display include: The initial grayscale values of sub-pixels in the target area of the display are obtained by calculating the rendering weight coefficients. The initial grayscale value of the sub-pixel is adjusted for color effect using a preset image enhancement algorithm to obtain the sub-pixel grayscale value.
[0008] In one embodiment, determining that the grayscale value of the sub-pixel satisfies a preset low grayscale judgment condition includes: If the grayscale value of the sub-pixel is within a preset pixel threshold range, and the range of the grayscale value of the sub-pixel is not greater than a preset range threshold, then the grayscale value of the sub-pixel is determined to meet the preset low grayscale judgment condition.
[0009] In one embodiment, calculating the distribution ratio of high grayscale values and low grayscale values in the sub-pixel grayscale values includes: Based on the relationship between the brightness and grayscale value of the display, the distribution ratio of high grayscale value and low grayscale value in the grayscale value of the sub-pixel is calculated.
[0010] In one embodiment, the method further includes: Calculate the average value of the grayscale values of the sub-pixels.
[0011] In one embodiment, determining the sub-pixel arrangement for optimizing the image quality of the target region based on the allocation ratio further includes: Based on the average value of the sub-pixel grayscale values, high grayscale values and low grayscale values are selected.
[0012] In one embodiment, determining the sub-pixel arrangement for optimizing the image quality of the target region based on the allocation ratio includes: The sub-pixels of the target region are optimized into optimized sub-pixels corresponding to the high grayscale value and low grayscale value that satisfy the allocation ratio, thereby determining the sub-pixel arrangement method used to optimize the image quality of the target region.
[0013] Secondly, embodiments of this application provide a display image quality optimization device, comprising: The grayscale value acquisition module is used to acquire the grayscale values of sub-pixels in the target area of the display. The allocation ratio calculation module is used to calculate the allocation ratio of high grayscale values and low grayscale values in the sub-pixel grayscale values in response to determining that the grayscale value of the sub-pixel meets the preset low grayscale judgment condition. The layout optimization module is used to determine the sub-pixel layout method for optimizing the image quality of the target area based on the allocation ratio.
[0014] Thirdly, embodiments of this application provide an electronic device, including: a memory and a processor, wherein the memory stores executable program code, and when the executable program code is executed by the processor, it implements the steps of the display image quality optimization method as described in the first aspect.
[0015] Fourthly, embodiments of this application provide a readable storage medium, characterized in that the readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the display image quality optimization method as described in the first aspect.
[0016] This application provides a display image quality optimization method, apparatus, device, and storage medium. The method includes: acquiring the grayscale values of sub-pixels in a target area of the display; in response to determining that the grayscale values of the sub-pixels meet a preset low grayscale judgment condition, calculating the allocation ratio of high grayscale values and low grayscale values in the sub-pixel grayscale values; and determining a sub-pixel arrangement for optimizing the image quality of the target area based on the allocation ratio. This application detects low grayscale areas in the display, calculates the high and low grayscale values in that area and their corresponding allocation ratios, and reallocates the sub-pixel arrangement to optimize the image quality of the display screen while maintaining brightness, thereby improving the user experience. Attached Figure Description
[0017] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.
[0018] Figure 1 This is a flowchart illustrating the display image quality optimization method provided in an embodiment of the present invention.
[0019] Figure 2 This is a schematic diagram of the display image quality optimization device provided in an embodiment of the present invention.
[0020] Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation
[0021] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.
[0022] It should be noted that, in this document, 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 that element. Furthermore, components, features, and elements with the same names in different embodiments of this application may have the same meaning or different meanings, the specific meaning of which must be determined by its interpretation in that specific embodiment or further in conjunction with the context of that specific embodiment.
[0023] It should be understood that although the terms first, second, third, etc., may be used herein to describe various information, such information should not be limited to these terms. These terms are used only to distinguish information of the same type from one another. For example, without departing from the scope of this document, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the word "if," as used herein, can be interpreted as "when," "when," or "in response to determination." Furthermore, as used herein, the singular forms "a," "an," and "the" are intended to also include the plural forms unless the context indicates otherwise. It should be further understood that the terms "comprising," "including," indicate the presence of the stated feature, step, operation, element, component, item, kind, and / or group, but do not exclude the presence, occurrence, or addition of one or more other features, steps, operations, elements, components, items, kinds, and / or groups. The terms "or" and "and / or" as used herein are to be interpreted as inclusive, or mean any one or any combination thereof. Therefore, "A, B, or C" or "A, B, and / or C" means "any one of the following: A; B; C; A and B; A and C; B and C; A, B, and C". Exceptions to this definition will only occur if the combination of elements, functions, steps, or operations is inherently mutually exclusive in some way.
[0024] It should be understood that although the steps in the flowcharts of this application's embodiments are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some of the steps in the figures may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be performed alternately or in turn with other steps or at least a portion of the sub-steps or stages of other steps.
[0025] It should be noted that step designations such as S110 and S120 are used in this document for the purpose of more clearly and concisely describing the corresponding content, and do not constitute a substantial limitation on the order. In specific implementation, those skilled in the art may execute S120 first and then S110, etc., but these should all be within the protection scope of this application.
[0026] It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to limit this application.
[0027] In the following description, the use of suffixes such as "module," "part," or "unit" to denote elements is solely for the purpose of illustrative purposes and has no specific meaning in itself. Therefore, "module," "part," or "unit" may be used interchangeably.
[0028] See Figure 1 This application provides a display image quality optimization method, which can be executed by a display image quality optimization device provided in this application. The device can be implemented in software and / or hardware. In this embodiment, the display image quality optimization device is taken as the executing entity of the method. The display image quality optimization method provided in this embodiment includes the following steps: Step S110: Obtain the grayscale value of the sub-pixel of the target area in the display.
[0029] It is understandable that by defining the size of the target area, i.e. the number of rows and columns, the number of sub-pixels in the target area can be determined, and the initial arrangement of the grayscale values of the sub-pixels in the target area can be displayed mathematically through matrix arrangement.
[0030] In one embodiment, the sub-pixel grayscale values of the target area in the display include: The initial grayscale value of the sub-pixel in the target area of the display is obtained by calculating the rendering weight coefficient; the color effect of the initial grayscale value of the sub-pixel is adjusted by the preset image enhancement algorithm to obtain the grayscale value of the sub-pixel.
[0031] It is understandable that when the display's driver IC (integrated circuit) receives the value of each sub-pixel (usually 8-bit or 10-bit grayscale data) sent by the host, it renders these sub-pixels using the SPR algorithm and scaling algorithm, and then adjusts the color effect of the rendered sub-pixels using contrast enhancement, color gamut conversion, and sharpening algorithms.
[0032] Step S120: In response to determining that the grayscale value of a sub-pixel meets the preset low grayscale judgment condition, the distribution ratio of high grayscale value and low grayscale value in the grayscale value of the sub-pixel is calculated.
[0033] It is understandable that if every sub-pixel in the target area is a low grayscale sub-pixel, then the target area is determined to be a low grayscale area. The allocation ratio is determined based on the high grayscale value and the low grayscale value in the sub-pixel grayscale value. That is, within the target area, the number of sub-pixels with high grayscale value and the number of sub-pixels with low grayscale value are determined, thereby optimizing the display image quality while keeping the low brightness unchanged.
[0034] In one embodiment, determining that the grayscale value of a sub-pixel satisfies a preset low grayscale judgment condition includes: If the grayscale value of a sub-pixel is within a preset pixel threshold range, and the range of the grayscale values of the sub-pixel is not greater than a preset range threshold, then the grayscale value of the sub-pixel is determined to meet the preset low grayscale judgment condition.
[0035] It is understandable that for sub-pixels in the target area, if all sub-pixels are within the preset pixel threshold range, and the difference between the maximum and minimum grayscale values of the R, G, and B sub-pixels is not greater than their respective range thresholds, then the sub-pixel grayscale value is determined to meet the preset low grayscale judgment condition.
[0036] In one embodiment, calculating the distribution ratio of high grayscale values and low grayscale values in a sub-pixel grayscale value includes: Based on the relationship between the brightness and grayscale value of the display, calculate the distribution ratio of high grayscale value and low grayscale value in the grayscale value of the sub-pixel.
[0037] It's understandable that the relationship between a monitor's brightness and grayscale values is represented by the gamma curve Luminance=f(grey), where the x-axis represents the grayscale level, or pixel grayscale value, and the y-axis represents brightness. Under high brightness conditions, when different pixel grayscale values are sent to the monitor, the monitor's brightness does not change linearly.
[0038] In one embodiment, it further includes: Calculate the average value of the grayscale values of the sub-pixels.
[0039] Specifically, the formula for calculating the distribution ratio under high brightness conditions is as follows: ,0 <a<1 Where X is the average gray level value of the sub-pixel, Y is the high gray level value, Z is the low gray level value, and a is the proportion of high gray level values.
[0040] Furthermore, the relationship between the brightness of a display and its grayscale value under low brightness conditions can be approximated as a linear relationship, and the calculation formula is as follows: ,0 <a<1 That is, the proportion of high grayscale values is calculated as follows: .
[0041] Step S130: Determine the sub-pixel arrangement method for optimizing the image quality of the target area according to the allocation ratio.
[0042] In one embodiment, determining the sub-pixel arrangement for optimizing the image quality of the target area based on the allocation ratio further includes: High grayscale value and low grayscale value are selected based on the average value of the sub-pixel grayscale values.
[0043] It is understandable that by replacing the original sub-pixel grayscale values with pre-selected high and low grayscale values and rearranging them, image quality optimization of the target area of the display can be achieved. Preferably, the high grayscale value needs to be a grayscale value greater than the average value and uniformly displayed, usually a grayscale value of 16 to 32; the low grayscale value is usually a grayscale value of 0 and a brightness of less than 0.05 nits.
[0044] Furthermore, after calculating the distribution ratio of high and low grayscale values, the number of sub-pixels corresponding to each high and low grayscale value can be calculated by combining the number of rows and columns of sub-pixels in the target region. Specifically, the number of sub-pixels with high grayscale values is N_y = round(a * Rs * Ls), and the number of sub-pixels with low grayscale values is N_z = Rs * Ls - N_y. Here, Rs is the number of rows in the target region, and Ls is the number of columns in the target region.
[0045] In one embodiment, determining the sub-pixel arrangement for optimizing the image quality of the target area based on the allocation ratio includes: The sub-pixels of the target area are optimized into optimized sub-pixels corresponding to high grayscale values and low grayscale values that meet the allocation ratio, thereby determining the sub-pixel arrangement method used to optimize the image quality of the target area.
[0046] It is understandable that spatial jitter is used to define multiple different arrangement methods, while recording the cumulative frame count, and selecting the corresponding matrix to replace based on the current frame count.
[0047] For example, taking an OLED display as an example, due to its self-emissive characteristics, the number of sub-pixels with high grayscale values in the target area needs to be no less than the number of sub-pixels with low grayscale values in order to avoid the appearance of dark patches in the target area.
[0048] Preferably, to improve the display effect, time jitter can be applied, that is, odd-numbered frames and even-numbered frames can be arranged in different ways.
[0049] In summary, the embodiments of this application detect low grayscale areas in the display, calculate the high grayscale values and low grayscale values in the area and the corresponding allocation ratio, and reallocate the arrangement of sub-pixels to optimize the image quality of the display screen without changing the brightness, thereby improving the user experience.
[0050] Based on the first embodiment of this application, a display image quality optimization device is provided in this embodiment, see reference. Figure 2 The device includes: The grayscale value acquisition module 21 is used to acquire the grayscale value of the sub-pixels of the target area in the display.
[0051] The allocation ratio calculation module 22 is used to calculate the allocation ratio of high grayscale values and low grayscale values in the sub-pixel grayscale values in response to determining that the grayscale value of the sub-pixel meets the preset low grayscale judgment condition. The layout optimization module 23 is used to determine the sub-pixel layout method for optimizing the image quality of the target area according to the allocation ratio.
[0052] In one embodiment, the grayscale value acquisition module 21 is further configured to: The initial grayscale value of the sub-pixel in the target area of the display is obtained by calculating the rendering weight coefficient; the color effect of the initial grayscale value of the sub-pixel is adjusted by the preset image enhancement algorithm to obtain the grayscale value of the sub-pixel.
[0053] In one embodiment, the allocation ratio calculation module 22 is further configured to: If the grayscale value of a sub-pixel is within a preset pixel threshold range, and the range of the grayscale values of the sub-pixel is not greater than a preset range threshold, then the grayscale value of the sub-pixel is determined to meet the preset low grayscale judgment condition.
[0054] In one embodiment, the allocation ratio calculation module 22 is further configured to: Based on the relationship between the brightness and grayscale value of the display, calculate the distribution ratio of high grayscale value and low grayscale value in the grayscale value of the sub-pixel.
[0055] In one embodiment, the allocation ratio calculation module 22 is further configured to: Calculate the average value of the grayscale values of the sub-pixels.
[0056] In one embodiment, the layout optimization module 23 is further configured to: High grayscale value and low grayscale value are selected based on the average value of the sub-pixel grayscale values.
[0057] In one embodiment, the layout optimization module 23 is further configured to: The sub-pixels of the target area are optimized into optimized sub-pixels corresponding to high grayscale values and low grayscale values that meet the allocation ratio, thereby determining the sub-pixel arrangement method used to optimize the image quality of the target area.
[0058] It should be noted that the description of the display image quality optimization device above is similar to the description of the display image quality optimization method above, and the beneficial effects of the same method will not be repeated. For technical details not disclosed in the embodiments of the display image quality optimization device of this invention, please refer to the description of the embodiments of the display image quality optimization method of this invention.
[0059] Based on the same inventive concept as the foregoing embodiments, this application provides an electronic device, such as... Figure 3 As shown, the device includes: a processor 301 and a memory 302 storing a computer program; wherein, Figure 3 The processor 301 shown in the diagram does not indicate that there is only one processor 301, but only indicates the positional relationship of processor 301 relative to other devices. In practical applications, there can be one or more processors 301; similarly, Figure 3 The memory 302 shown in the diagram has the same meaning, that is, it is only used to indicate the positional relationship of memory 302 relative to other devices. In practical applications, there can be one or more memories 302. When the processor 301 runs the computer program, it implements the display image quality optimization method described above.
[0060] The device may also include at least one network interface 303. The various components of the device are coupled together via a bus system 304. It is understood that the bus system 304 is used to implement communication between these components. In addition to a data bus, the bus system 304 also includes a power bus, a control bus, and a status signal bus. However, for clarity, in... Figure 3 The general designated all buses as Bus System 304.
[0061] The memory 302 can be volatile memory or non-volatile memory, or both. Non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), ferromagnetic random access memory (FRAM), flash memory, magnetic surface memory, optical disc, or compact disc read-only memory (CD-ROM); magnetic surface memory can be disk storage or magnetic tape storage. Volatile memory can be random access memory (RAM), used as an external cache. By way of example, but not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Synchronous Static Random Access Memory (SSRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic Random Access Memory (SDRAM), Double Data Rate Synchronous Dynamic Random Access Memory (DDRSDRAM), Enhanced Synchronous Dynamic Random Access Memory (ESDRAM), SyncLink Dynamic Random Access Memory (SLDRAM), and Direct Rambus Random Access Memory (DRRAM).The memory 302 described in the embodiments of this application is intended to include, but is not limited to, these and any other suitable types of memory.
[0062] Fourth embodiment Based on the same inventive concept as the foregoing embodiments, this embodiment also provides a computer-readable storage medium storing a computer program. The computer-readable storage medium can be a magnetic random access memory (FRAM), a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), a flash memory, a magnetic surface memory, an optical disc, or a compact disc read-only memory (CD-ROM), etc.; it can also be various devices including one or any combination of the above-mentioned memories, such as mobile phones, computers, tablet devices, personal digital assistants, etc. When the computer program stored in the computer-readable storage medium is executed by a processor, it implements the above-described display image quality optimization method. For the specific steps implemented when the computer program is executed by the processor, please refer to [link to relevant documentation]. Figure 2 The description of the illustrated embodiments will not be repeated here.
[0063] In this application, the same or similar terms, concepts, technical solutions and / or application scenario descriptions are generally described in detail only when they appear for the first time. When they appear again, they are generally not repeated for the sake of brevity. When understanding the technical solutions and other contents of this application, the same or similar terms, concepts, technical solutions and / or application scenario descriptions that are not described in detail later can be referred to their previous relevant detailed descriptions.
[0064] In this application, the descriptions of the various embodiments have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.
[0065] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0066] The above description is merely a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. For those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.
Claims
1. A method for optimizing display image quality, characterized in that, include: Obtain the sub-pixel grayscale values of the target area in the display; In response to determining that the grayscale value of the sub-pixel meets the preset low grayscale judgment condition, the distribution ratio of high grayscale value and low grayscale value in the grayscale value of the sub-pixel is calculated. Based on the allocation ratio, a sub-pixel arrangement method for optimizing the image quality of the target area is determined.
2. The display image quality optimization method according to claim 1, characterized in that, The sub-pixel grayscale values of the target area in the display include: The initial grayscale values of sub-pixels in the target area of the display are obtained by calculating the rendering weight coefficients. The initial grayscale value of the sub-pixel is adjusted for color effect using a preset image enhancement algorithm to obtain the sub-pixel grayscale value.
3. The display image quality optimization method according to claim 1, characterized in that, The step of determining that the grayscale value of the sub-pixel meets the preset low grayscale judgment condition includes: If the grayscale value of the sub-pixel is within a preset pixel threshold range, and the range of the grayscale value of the sub-pixel is not greater than a preset range threshold, then the grayscale value of the sub-pixel is determined to meet the preset low grayscale judgment condition.
4. The display image quality optimization method according to claim 3, characterized in that, The calculation of the distribution ratio of high grayscale values and low grayscale values in the sub-pixel grayscale values includes: Based on the relationship between the brightness and grayscale value of the display, the distribution ratio of high grayscale value and low grayscale value in the grayscale value of the sub-pixel is calculated.
5. The display image quality optimization method according to claim 4, characterized in that, The method further includes: Calculate the average value of the grayscale values of the sub-pixels.
6. The display image quality optimization method according to claim 5, characterized in that, Before determining the sub-pixel arrangement for optimizing the image quality of the target region based on the allocation ratio, the method further includes: Based on the average value of the sub-pixel grayscale values, high grayscale values and low grayscale values are selected.
7. The display image quality optimization method according to claim 6, characterized in that, The step of determining the sub-pixel arrangement for optimizing the image quality of the target area based on the allocation ratio includes: The sub-pixels of the target region are optimized into optimized sub-pixels corresponding to the high grayscale value and low grayscale value that satisfy the allocation ratio, thereby determining the sub-pixel arrangement method used to optimize the image quality of the target region.
8. A display image quality optimization device, characterized in that, The device includes: The grayscale value acquisition module is used to acquire the grayscale values of sub-pixels in the target area of the display. The allocation ratio calculation module is used to calculate the allocation ratio of high grayscale values and low grayscale values in the sub-pixel grayscale values in response to determining that the grayscale value of the sub-pixel meets the preset low grayscale judgment condition. The layout optimization module is used to determine the sub-pixel layout method for optimizing the image quality of the target area based on the allocation ratio.
9. An electronic device, characterized in that, The electronic device includes: a memory and a processor, wherein the memory stores executable program code, and when the executable program code is executed by the processor, it implements the steps of the display image quality optimization method as described in any one of claims 1 to 7.
10. A readable storage medium, characterized in that, The readable storage medium stores a computer program that, when executed by a processor, implements the steps of the display image quality optimization method as described in any one of claims 1 to 7.