A pixel adjustment method, apparatus, and storage medium

Abstract

This application provides a pixel adjustment method, apparatus, and storage medium. The pixel adjustment method includes: obtaining the red grayscale value corresponding to the red pixel component of a preset pixel; adjusting the red grayscale value to a first red adjustment value based on a first preset strategy; obtaining the green grayscale value corresponding to the green pixel component and the blue grayscale value corresponding to the blue pixel component of the preset pixel; adjusting the first red adjustment value to a second red adjustment value based on a second preset strategy; and adjusting the display brightness of the preset pixel according to the second red adjustment value. The pixel adjustment method, apparatus, and storage medium provided in this application, by adjusting the red grayscale value corresponding to the red pixel component through the first and second preset strategies, can make the display brightness of the preset pixel uniform and solve the defect of excessive brightness in pure red images.

Description

Technical Field

[0001] This application relates to the field of brightness adjustment technology, specifically to a pixel adjustment method, apparatus, and storage medium. Background Technology

[0002] Because the manufacturing process of display panels is not yet mature, some defects are unavoidable. Currently identified issues include: the voltage drop within the power supply chip of the display panel is mainly due to internal resistance; the farther a sub-pixel is from the power supply terminal, the greater the impact, and the closer the sub-pixel is to the power supply terminal, the less affected it is. Therefore, at high grayscale levels, the screen brightness near the power supply terminal is usually brighter than that far from the power supply terminal, resulting in poor brightness uniformity at high grayscale levels.

[0003] Furthermore, in the RGBW panel architecture, for pure R, pure G, and pure B color images, the RGBW architecture panel will have a display defect of being too dark. Here, R represents red subpixels, G represents green subpixels, B represents blue subpixels, and W represents white subpixels. For example, for any given pixel, the brightness of a subpixel is affected by the values ​​of other subpixels. Let's denote the brightness LW of a pure W image (where the grayscale value is (R, G, B) = (255, 255, 255)); the brightness LR of a pure R image (where (R, G, B) = (255, 0, 0)); the brightness LG of a pure G image (where (R, G, B) = (0, 255, 0)); and the brightness LB of a pure B image (where (R, G, B) = (0, 0, 255)). Theoretically, the brightness LW should generally be LW = LR + LG + LB, but in reality, we often see a brightness LW < LR + LG + LB. <LR+LG+LB。

[0004] The preceding description is intended to provide general background information and does not necessarily constitute prior art. Summary of the Invention

[0005] This application provides a pixel adjustment method, apparatus, and storage medium to alleviate the problem of uneven brightness and dark screen on a display panel.

[0006] In one aspect, this application provides a pixel adjustment method, specifically comprising:

[0007] Obtain the red grayscale value corresponding to the red pixel component of the preset pixel, and adjust the red grayscale value to a first red adjustment value based on a first preset strategy;

[0008] Obtain the green grayscale value corresponding to the green pixel component and the blue grayscale value corresponding to the blue pixel component in the preset pixel, and adjust the first red adjustment value to the second red adjustment value based on the second preset strategy;

[0009] Adjust the display brightness of the preset pixel according to the second red adjustment value.

[0010] Optionally, the step of obtaining the red grayscale value corresponding to the red pixel component in the preset pixels and adjusting the red grayscale value to a first red adjustment value based on a first preset strategy includes:

[0011] Obtain the actual brightness value of the pure white image corresponding to the red grayscale value, and obtain the theoretical brightness value of the pure red image based on the actual brightness value and the red brightness coefficient;

[0012] Determine the actual red grayscale value corresponding to the theoretical brightness value of the pure red image, and use the actual red grayscale value as the first red adjustment value.

[0013] Optionally, before the step of obtaining the red grayscale value corresponding to the red pixel component in the preset pixel and adjusting the red grayscale value to the first red adjustment value based on the first preset strategy, the following steps are included:

[0014] Randomly select a first preset number of grayscale values, and obtain multiple red adjustment values ​​corresponding to the multiple grayscale values ​​to establish a red pixel adjustment table;

[0015] The red pixel adjustment table is improved by interpolating the red adjustment values ​​from grayscale value 1 to grayscale value 255.

[0016] The first red adjustment value corresponding to the red grayscale value is determined by referring to the red pixel adjustment table.

[0017] Optionally, before the step of obtaining the red grayscale value corresponding to the red pixel component in the preset pixel and adjusting the red grayscale value to the first red adjustment value based on the first preset strategy, the following steps are included:

[0018] Randomly select a second preset number of grayscale values, obtain multiple red adjustment values ​​corresponding to the multiple grayscale values, and calculate the red pixel adjustment coefficient according to the red pixel ratio formula;

[0019] The red pixel adjustment coefficient is multiplied by the red grayscale value to determine the first red adjustment value;

[0020] The formula for the proportion of red pixels is:

[0021]

[0022] Where, ρ R The red pixel adjustment coefficient is m, the second preset quantity is M, the second preset quantity of grayscale values ​​is n, and VR(n) is the red adjustment value corresponding to the grayscale value.

[0023] Optionally, the step of obtaining the green grayscale value corresponding to the green pixel component and the blue grayscale value corresponding to the blue pixel component in the preset pixel, and adjusting the first red adjustment value to the second red adjustment value based on the second preset strategy includes:

[0024] Based on the green grayscale weight, blue grayscale weight, green grayscale value, and blue grayscale value, the red grayscale adjustment weight of the preset pixel is obtained according to the first adjustment formula;

[0025] The second red adjustment value is obtained based on the red grayscale adjustment weight, the first red adjustment value, and the red grayscale value, according to the second adjustment formula.

[0026] Optionally, the first adjustment formula is:

[0027]

[0028] Where DR is the red grayscale adjustment weight, g is the green grayscale value, a1 is the green grayscale weight, a2 is the blue image grayscale weight, b is the blue grayscale value, and a1+a2=1.

[0029] Optionally, the second adjustment formula is:

[0030] VR2 = r*(1-DR) + VR1*DR;

[0031] Where VR2 is the second red adjustment value, VR1 is the first red adjustment value, and r is the red grayscale value.

[0032] Optionally, the pixel adjustment method further includes:

[0033] The green grayscale value is adjusted to the second green adjustment value based on the third preset strategy, and the blue grayscale value is adjusted to the second blue adjustment value based on the fourth preset strategy;

[0034] Adjust the display brightness of the preset pixel according to the second red adjustment value, the second green adjustment value, and the second blue adjustment value.

[0035] On the other hand, this application also provides a pixel adjustment device, specifically including a processing device and a storage device;

[0036] The storage device stores a computer program, which, when executed by the processing device, implements the steps of the pixel adjustment method as described above.

[0037] On the other hand, this application also provides a storage medium, specifically, the storage medium stores a computer program, which, when executed by a processor, implements the steps of the pixel adjustment method as described above.

[0038] As described above, the pixel adjustment method, apparatus and storage medium provided in this application can adjust the red grayscale value corresponding to the red pixel component through the first preset strategy and the second preset strategy, so that the display brightness of the preset pixels is uniform and solves the defect of the pure red image being too bright. Attached Figure Description

[0039] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, those skilled in the art can obtain other drawings based on these drawings without any creative effort.

[0040] Figure 1 This is a flowchart of a pixel adjustment method according to an embodiment of this application.

[0041] The realization of the objectives, functional features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. The accompanying drawings have illustrated specific embodiments of this application, which will be described in more detail below. These drawings and textual descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concepts of this application to those skilled in the art through reference to specific embodiments. Detailed Implementation

[0042] 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.

[0043] 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.

[0044] It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to limit this application.

[0045] First Embodiment

[0046] On one hand, this application provides a pixel adjustment method. Figure 1 This is a flowchart of a pixel adjustment method according to an embodiment of this application.

[0047] Please see Figure 1 In one embodiment, the pixel adjustment method includes:

[0048] S10: Obtain the red grayscale value corresponding to the red pixel component in the preset pixel, and adjust the red grayscale value to the first red adjustment value based on the first preset strategy.

[0049] For example, the preset pixel includes a red pixel component, a green pixel component, and a blue pixel component, and the grayscale value of each color component ranges from 1 to 255. The display brightness of the preset pixel is adjusted by adjusting the grayscale value of each color component. By adjusting the red grayscale value to a first red adjustment value through a first preset strategy, the display brightness of the pure red image corresponding to the preset pixel is uniform.

[0050] S20: Obtain the green grayscale value corresponding to the green pixel component and the blue grayscale value corresponding to the blue pixel component in the preset pixels, and adjust the first red adjustment value to the second red adjustment value based on the second preset strategy.

[0051] For example, adjusting the first red adjustment value to the second red adjustment value according to the second preset strategy can make the display brightness of the preset pixel unaffected by the green grayscale value of the green pixel component and the blue grayscale value of the blue pixel component, thus avoiding the display brightness of the pure red image being too bright.

[0052] S30: Adjust the display brightness of the preset pixel according to the second red adjustment value.

[0053] In this embodiment, the pixel adjustment method adjusts the red grayscale value corresponding to the red pixel component through the first preset strategy and the second preset strategy, which can make the display brightness of the preset pixels uniform and solve the defect of the pure red image being too bright.

[0054] In one embodiment, the pixel adjustment method includes the following step in performing S10: obtaining the red grayscale value corresponding to the red pixel component in a preset pixel, and adjusting the red grayscale value to a first red adjustment value based on a first preset strategy:

[0055] S11: Obtain the actual brightness value of the pure white image corresponding to the red grayscale value, and obtain the theoretical brightness value of the pure red image based on the actual brightness value and the red brightness coefficient;

[0056] S12: Determine the actual red grayscale value corresponding to the theoretical brightness value of the pure red image, and use the actual red grayscale value as the first red adjustment value.

[0057] For example, to achieve ideal display brightness, the actual brightness value of the pure white image in the red grayscale is obtained, and the theoretical brightness value of the pure red image is obtained based on the red brightness coefficient. The display brightness of the pure red image is adjusted until it equals the theoretical brightness value; at this point, the corresponding actual red grayscale value is the first red adjustment value. Optionally, the red brightness coefficient is generally 0.3, and this application does not limit this. Theoretically, the display brightness of the pure white image is equal to the sum of the display brightness of the pure red, pure green, and pure blue images; therefore, the sum of the red, green, and blue brightness coefficients is 1.

[0058] In one embodiment, the pixel adjustment method includes the following steps before executing S10: obtaining the red grayscale value corresponding to the red pixel component in a preset pixel and adjusting the red grayscale value to a first red adjustment value based on a first preset strategy:

[0059] S13: Randomly select a first preset number of grayscale values, and obtain multiple red adjustment values ​​corresponding to multiple grayscale values ​​to establish a red pixel adjustment table.

[0060] Optionally, this application does not limit the first preset number. The more grayscale values ​​selected, the more accurate the subsequent interpolation of the remaining grayscale values ​​will be. For example, the first preset number can be 34. Selecting 34 grayscale binding points for interpolation can establish and improve the red pixel adjustment table.

[0061] S14: Interpolate the red pixel adjustment table from grayscale value 1 to grayscale value 255 to improve the red pixel adjustment table;

[0062] S15: Refer to the red pixel adjustment table to determine the first red adjustment value corresponding to the red grayscale value.

[0063] For example, by adjusting the grayscale values ​​from 1 to 255, the display brightness of the pure red image corresponding to each grayscale value is made uniform. Establishing a red pixel adjustment table through interpolation allows for accurate and quick lookup of the first red adjustment value corresponding to each red grayscale value.

[0064] In one embodiment, the pixel adjustment method includes the following steps before executing S10: obtaining the red grayscale value corresponding to the red pixel component in a preset pixel and adjusting the red grayscale value to a first red adjustment value based on a first preset strategy:

[0065] S16: Randomly select a second preset number of grayscale values, obtain multiple red adjustment values ​​corresponding to multiple grayscale values, and calculate the red pixel adjustment coefficient according to the red pixel ratio formula.

[0066] Optionally, this application does not limit the second preset number; the more grayscale values ​​selected, the more accurate the calculated red pixel adjustment coefficient. For example, the second preset number can be 40, with 40 grayscale values ​​randomly selected to calculate the red pixel adjustment coefficient according to the red pixel ratio formula.

[0067] S17: Multiply the red pixel adjustment factor by the red grayscale value to determine the first red adjustment value;

[0068] The formula for the proportion of red pixels is:

[0069]

[0070] Where, ρ R is the red pixel adjustment coefficient, m is the preset quantity, M is the preset quantity of grayscale values, n is the grayscale value, and VR() is the red adjustment value for the corresponding grayscale value.

[0071] For example, by selecting a subset of grayscale values ​​and their corresponding red adjustment values, the average ratio between each grayscale value and its corresponding red adjustment value is calculated, i.e., the red pixel adjustment coefficient. Multiplying the red pixel adjustment coefficient by the red grayscale value directly yields the first red adjustment value, which ensures uniform display brightness for each red grayscale value.

[0072] In one embodiment, the pixel adjustment method includes the following steps in S20: obtaining the green grayscale value corresponding to the green pixel component and the blue grayscale value corresponding to the blue pixel component in a preset pixel, and adjusting the first red adjustment value to the second red adjustment value based on a second preset strategy:

[0073] S21: Based on the green grayscale weight, blue grayscale weight, green grayscale value and blue grayscale value, obtain the red grayscale adjustment weight of the preset pixel according to the first adjustment formula.

[0074] For example, the influence of green and blue grayscale values ​​on red grayscale values ​​is displayed in the form of red grayscale adjustment weights according to the first adjustment formula, and the red grayscale values ​​are adjusted by the generated red grayscale adjustment weights.

[0075] In one embodiment, the first adjustment formula is:

[0076]

[0077] Wherein, DR is the red grayscale adjustment weight, g is the green grayscale value, a1 is the green grayscale weight, a2 is the blue image grayscale weight, b is the blue grayscale value, a1+a2=1, and the range of a1 and a2 is between 0 and 1.

[0078] Optionally, this application does not limit the weight values ​​of green grayscale and blue grayscale. If the weight value of green grayscale is 0.5, then the weight value of blue grayscale is also 0.5.

[0079] S22: Based on the red grayscale adjustment weight, the first red adjustment value, and the red grayscale value, obtain the second red adjustment value using the second adjustment formula.

[0080] For example, by weighting the red grayscale value and the first red adjustment value according to the red grayscale adjustment weight, the second red adjustment value can be obtained, which can minimize the influence of the green grayscale value and the blue grayscale value on the red grayscale value.

[0081] In one embodiment, the second adjustment formula is:

[0082] VR2 = r*(1-DR) + VR1*DR;

[0083] Where VR2 is the second red adjustment value, VR1 is the first red adjustment value, and r is the red grayscale value.

[0084] For example, taking a preset pixel grayscale value (r, b, g) = (200, 80, 120) as an example. Consulting the red pixel adjustment table, we find that the first adjustment value corresponding to the red grayscale value 200 is 210, or the red pixel adjustment coefficient is 1.05. Multiplying 1.05 by 200 gives the first adjustment value of 210. The green grayscale weight is 0.5, the blue grayscale weight is 0.5, and according to the first adjustment formula, the red grayscale adjustment weight is 1- According to the second adjustment formula, the second red adjustment value is 200*(1-0.61)+210*0.61=206.1. Adjust the red grayscale value from 200 to 206.1. Similarly, adjust the green and blue grayscale values ​​to make the display brightness of the preset pixels uniform and achieve the desired effect.

[0085] In one embodiment, the pixel adjustment method further includes:

[0086] S40: Adjust the green grayscale value to the second green adjustment value based on the third preset strategy, and adjust the blue grayscale value to the second blue adjustment value based on the fourth preset strategy.

[0087] For example, the third and fourth preset strategies are based on the same principle as adjusting the red grayscale value to generate the second red adjustment value, and will not be repeated here.

[0088] S41: Adjust the display brightness of the preset pixel according to the second red adjustment value, the second green adjustment value, and the second blue adjustment value.

[0089] For example, in the RBGW panel architecture, by adjusting the display brightness of the pure red image under the second red adjustment value, the display brightness of the pure green image under the second green adjustment value, and the display brightness of the pure blue image under the second blue adjustment value, the display brightness of the pure white image and the preset pixels can be adjusted, thus avoiding the defect that the sum of the display brightness of the pure red image, pure green image and pure blue image is too bright.

[0090] Second Embodiment

[0091] On the other hand, this application also provides a pixel adjustment apparatus, specifically including a processing device and a storage device. The storage device stores a computer program, which, when executed by the processing device, implements the steps of the pixel adjustment method described above.

[0092] For example, the pixel adjustment device includes the following steps in performing the pixel adjustment method:

[0093] First, acquire the brightness values ​​LW(n), LR(n), LG(n), and LB(n) corresponding to different gray levels n in a pure W, R, G, B image. Then, calculate the ideal brightness values ​​for the pure R, G, B image according to a fixed ratio. LR ideal (n)=LW(n)*α1,LG ideal (n)=LW(n)*α2,LB ideal (n) = LW(n)*α3, and the commonly used ratios are 0.3, 0.6, and 0.1.

[0094] Taking a pure R image as an example, based on the ideal brightness values ​​LR for a pure R image... ideal (n) Calculate the first adjustment value of R, which satisfies:

[0095] LR(VR(n)) = LR ideal (n)

[0096] VR(n) is the first adjustment value for a pure R image at a grayscale value of n. It is typically determined using a lookup table or a fixed-ratio method. The lookup table method defines m grayscale binding points N1, ..., Nm, storing the corresponding adjustment value VR(Nm). Other values ​​are obtained through interpolation. The fixed-ratio method calculates a ratio for a set A consisting of a subset of grayscale values, where mA represents the number of grayscale values ​​in set A.

[0097] The calculation formula is:

[0098]

[0099] The first adjustment value is calculated as follows: ρ R *n.

[0100] For each pixel, firstly, calculate the first adjustment value VR(n) of the pure R image grayscale value n using the method above. Then, calculate the second adjustment value of the R grayscale value using the first adjustment value and the grayscale values ​​of sub-pixels G and B. If the grayscale value of a pixel is (r, g, b), the first adjustment value of g is Vr1 (Vr1 = VR(r)), and then calculate the adjustment weights. The values ​​of a1 and a2 are in the range of [0, 1], and it is generally required that a1 + a2 = 1; then calculate the second adjustment value Vr2, Vr2 = r * (1 - DR) + Vr1 * DR; the grayscale values ​​of G and B are adjusted in the same way as R.

[0101] On the other hand, this application also provides a storage medium, specifically, a computer program stored on the storage medium, which, when executed by a processor, implements the steps of the pixel adjustment method as described above.

[0102] It should be noted that step designations such as S10 and S20 are used in this application 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 S20 first and then S10, etc., but these should all be within the protection scope of this application.

[0103] In the embodiments of the storage medium provided in this application, all the technical features of any of the above method embodiments may be included. The extended and explanatory content of the specification is basically the same as that of the embodiments of the above methods, and will not be repeated here.

[0104] This application also provides a computer program product, which includes computer program code. When the computer program code is run on a computer, it causes the computer to perform the methods described in the various possible implementations above.

[0105] This application also provides a chip, including a memory and a processor. The memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that a device with the chip installed performs the methods described in the various possible implementations above.

[0106] It is understood that the above scenarios are merely examples and do not constitute a limitation on the application scenarios of the technical solutions provided in the embodiments of this application. The technical solutions of this application can also be applied to other scenarios. For example, as those skilled in the art will know, with the evolution of system architecture and the emergence of new business scenarios, the technical solutions provided in the embodiments of this application are also applicable to similar technical problems.

[0107] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0108] The steps in the method of this application embodiment can be adjusted, combined, or deleted according to actual needs.

[0109] 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.

[0110] 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.

[0111] The technical features of the present application 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 the present application.

[0112] The above are merely preferred embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. A pixel adjustment method, characterized in that, include: Obtain the red grayscale value corresponding to the red pixel component of the preset pixel, and adjust the red grayscale value to a first red adjustment value based on a first preset strategy; Obtain the green grayscale value corresponding to the green pixel component and the blue grayscale value corresponding to the blue pixel component in the preset pixel, and adjust the first red adjustment value to the second red adjustment value based on the second preset strategy; Adjust the display brightness of the preset pixel according to the second red adjustment value; The first preset strategy includes: Obtain the actual brightness value of the pure white image corresponding to the red grayscale value, and obtain the theoretical brightness value of the pure red image based on the actual brightness value and the red brightness coefficient; Determine the actual red grayscale value corresponding to the theoretical brightness value of the pure red image, and use the actual red grayscale value as the first red adjustment value; The second preset strategy includes: Based on the green grayscale weight, blue grayscale weight, green grayscale value, and blue grayscale value, the red grayscale adjustment weight of the preset pixel is obtained according to the first adjustment formula; The second red adjustment value is obtained based on the red grayscale adjustment weight, the first red adjustment value, and the red grayscale value, according to the second adjustment formula.

2. The pixel adjustment method as described in claim 1, characterized in that, Before the step of obtaining the red grayscale value corresponding to the red pixel component in the preset pixel and adjusting the red grayscale value to the first red adjustment value based on the first preset strategy, the following steps are included: Randomly select a first preset number of grayscale values, and obtain multiple red adjustment values ​​corresponding to the multiple grayscale values ​​to establish a red pixel adjustment table; The red pixel adjustment table is improved by interpolating the red adjustment values ​​from grayscale value 1 to grayscale value 255. The first red adjustment value corresponding to the red grayscale value is determined by referring to the red pixel adjustment table.

3. The pixel adjustment method as described in claim 1, characterized in that, Before the step of obtaining the red grayscale value corresponding to the red pixel component in the preset pixel and adjusting the red grayscale value to the first red adjustment value based on the first preset strategy, the following steps are included: Randomly select a second preset number of grayscale values, obtain multiple red adjustment values ​​corresponding to multiple grayscale values, and calculate the red pixel adjustment coefficient according to the red pixel ratio formula; The red pixel adjustment coefficient is multiplied by the red grayscale value to determine the first red adjustment value; The formula for the proportion of red pixels is: ； in, The adjustment coefficient for the red pixel is... The second preset quantity, The second preset number of grayscale values, Grayscale values, This is the red adjustment value corresponding to the grayscale value.

4. The pixel adjustment method as described in claim 1, characterized in that, The first adjustment formula is: ； in, Adjust the weights for the red grayscale. The value is the green grayscale value. The weights are green grayscale values. For blue images, grayscale weights, The value is the blue grayscale value. .

5. The pixel adjustment method as described in claim 4, characterized in that, The second adjustment formula is: ； in, This is the second red adjustment value. The first red adjustment value, This represents the red grayscale value.

6. The pixel adjustment method according to any one of claims 1-5, characterized in that, Also includes: The green grayscale value is adjusted to the second green adjustment value based on the third preset strategy, and the blue grayscale value is adjusted to the second blue adjustment value based on the fourth preset strategy; The display brightness of the preset pixel is adjusted according to the second red adjustment value, the second green adjustment value, and the second blue adjustment value.

7. A pixel adjustment device, characterized in that, Includes processing devices and storage devices; The storage device stores a computer program, which, when executed by the processing device, implements the steps of the pixel adjustment method as described in any one of claims 1-6.

8. A storage medium, characterized in that, The storage medium stores a computer program, which, when executed by a processor, implements the steps of the pixel adjustment method as described in any one of claims 1-6.

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