CN115206234A - Display panel compensation data coding method, display module and storage medium - Google Patents

Abstract

The application discloses a display panel compensation data coding method, a display module and a storage medium, wherein the coding method comprises the following steps: acquiring an original compensation value of each pixel in a target pixel block in a display image of preset display data; calculating a fluctuation reference value of each pixel according to the original compensation value; calculating a compensation fluctuation value according to the fluctuation reference value; dividing each compensation fluctuation value by a quantization parameter to obtain a compensation quantization value of each pixel; and coding the compensation quantization value by using a preset coding model to obtain the coding result. By the technical scheme, the compensation data can be compressed and stored, and the problem that the data storage capacity is rapidly increased under the condition that the large pixel block is the basic block is solved.

Description

Coding method for compensation data of display panel, display module and storage medium

technical field

The present application relates to the technical field of panel display, and in particular, to an encoding method for compensation data of a display panel, a display module and a storage medium.

Background technique

Due to the limitations of the crystallization process, LTPS TFTs fabricated on large-area glass substrates often have non-uniformity in electrical parameters such as threshold voltage, mobility and other TFTs at different positions, and this non-uniformity will translate into OLED displays. The current difference and brightness difference of the device are perceived by the human eye, that is, the Mura phenomenon. The Mur phenomenon originally meant uneven light and dark, and then extended to any color difference on the panel that the human eye can recognize. The external compensation system for the AMOLED production process is to compensate the display screen with poor Mura through advanced sub-pixel-level optical imaging technology and software algorithm to eliminate the Mura pattern (ie Demura, which is equivalent to beautifying the display screen), The display quality of the display screen can meet the shipping specifications of the panel factory, and the yield rate of the mass production of the display screen can be improved.

In the process of conceiving and implementing this application, the inventor found that when using an area with fewer pixels as a basic block for compensation data compression, although the compression method is simple, it will result in relatively large data loss. When the variance is relatively large, it will cause a lot of data loss. When an area containing more pixels is used as a basic block for data compression, the amount of data will increase rapidly and a large amount of storage space will be consumed.

SUMMARY OF THE INVENTION

In view of the above technical problems, the present application provides an encoding method for compensation data of a display panel, a display module and a storage medium, so as to alleviate the problem of the amount of stored data.

The present application provides an encoding method for compensation data of a display panel. Specifically, the encoding method includes:

In the display image of the preset display data, obtain the original compensation value of each pixel in the target pixel block;

Calculate the fluctuation reference value of each pixel according to the original compensation value;

Calculate the compensation fluctuation value according to the fluctuation reference value;

Divide each compensation fluctuation value by the quantization parameter to obtain the compensation quantization value for each pixel;

The compensated quantization value is encoded using a preset encoding model to obtain the encoding result.

Optionally, in the display image of the preset display data, before the step of acquiring the original compensation value of each pixel in the target pixel block, the step includes:

The display panel is divided into a plurality of pixel blocks according to a preset number of rows and columns.

Optionally, in the display image of the preset display data, the step of obtaining the original compensation value of each pixel in the target pixel block includes:

Obtain the saliency value of each pixel in the target pixel block;

According to the explicitness value, the pixel to be compensated is identified according to a preset identification algorithm;

According to the pixel to be compensated and the preset display data, the original compensation value is calculated according to a preset compensation algorithm.

Optionally, the explicitness value includes a luminance value and/or a chrominance value; and/or the preset display data includes a grayscale picture or an RGBW picture.

Optionally, the fluctuation reference value includes a compensated average value or a compensated median value.

Optionally, the step of calculating the average compensation value of each pixel according to the original compensation value includes:

The sum of all the original compensation values in the target pixel block is divided by the product of the number of rows and columns of the target pixel block, and the result obtained is the compensation average value.

Optionally, the step of calculating the compensation fluctuation value according to the fluctuation reference value includes:

The difference between the original compensation value of each pixel in the target pixel block and the fluctuation reference value is calculated separately as the compensation fluctuation value.

Optionally, the step of dividing each compensation fluctuation value by the quantization parameter to obtain the compensation quantization value of each pixel includes:

Select the quantization parameter in the parameter table according to the preset rule;

The quotient of dividing each compensation fluctuation value by the quantization parameter is rounded to be the compensation quantization value.

Optionally, the preset encoding model is selected from run-length encoding or zero-pass encoding; the step of using the preset encoding model to encode the compensation quantization value to obtain the encoding result includes:

encoding using the run-length encoding and the zero-pass encoding respectively, to obtain the run-length encoding result and the zero-pass encoding result, respectively;

comparing the binary data amount of the run-length encoding result and the zero-pass encoding result;

The encoding model corresponding to the encoding result with the smallest amount of binary data is selected as the preset encoding model.

Optionally, the step of encoding the compensation quantization value by using the preset encoding model to obtain the encoding result includes at least one of the following:

encoding and storing the fluctuation reference value according to the first number of bits; encoding and storing the quantization parameter according to the second number of bits; encoding and storing the preset encoding model according to the third number of bits; encoding the encoding The result encoding and storage obtains the encoding result storage data of the fourth number of bits.

Optionally, the step of selecting the quantization parameter in the parameter table according to a preset rule includes:

S41: Select the minimum parameter in the parameter table to encode the target pixel block;

S42: Calculate the sum of the first quantity, the second quantity, the third quantity and the fourth quantity as a comparison value;

S43: Determine whether the comparison value is greater than the preset number. If yes, go to step S44, otherwise go to step S45;

S44: when the comparison value is greater than the preset number, exclude the minimum parameter from the parameter table, and return to step S41;

S45: Use the minimum parameter as the preset parameter.

On the other hand, the present application also provides a display module, specifically, the display module includes a processor and a memory connected to the processor;

A computer program is stored on the memory;

The processor is configured to execute the computer program read from the memory, so as to implement the encoding method as described above.

On the other hand, the present application further provides a storage medium, in particular, a computer program is stored on the storage medium, and the computer program implements the above encoding method when executed by a processor.

As described above, the encoding method of the present application includes the steps of: in a display image of preset display data, acquiring the original compensation value of each pixel in the target pixel block; calculating each pixel according to the original compensation value Calculate the compensated fluctuation value according to the fluctuation benchmark value; divide each compensated fluctuation value by the quantization parameter to obtain the compensated quantized value of each pixel; use the preset coding model to calculate the compensated quantized value Encoding is performed to obtain the encoding result. Through the above technical solution, the compressed storage of the compensation data can be realized, and the problem of the rapid increase of the data storage amount when the large pixel block is the basic block can be solved.

Description of drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description serve to explain the principles of the application. In order to illustrate the technical solutions of the embodiments of the present application more clearly, the accompanying drawings required for the description of the embodiments will be briefly introduced below. Obviously, for those of ordinary skill in the art, without creative efforts On the premise, other drawings can also be obtained according to these drawings.

FIG. 1 is a flowchart of an encoding method according to an embodiment of the present application.

FIG. 2 is a flowchart of selecting a quantization parameter according to an embodiment of the present application.

The realization, functional characteristics and advantages of the purpose of the present application will be further described with reference to the accompanying drawings in conjunction with the embodiments. Specific embodiments of the present application have been shown by the above-mentioned drawings, and will be described in more detail hereinafter. These drawings and written descriptions are not intended to limit the scope of the concepts of the present application in any way, but to illustrate the concepts of the present application to those skilled in the art by referring to specific embodiments.

Detailed ways

Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. Where the following description refers to the drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the illustrative examples below are not intended to represent all implementations consistent with this application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as recited in the appended claims.

The present application first provides a method for encoding compensation data of a display panel. FIG. 1 is a flowchart of an encoding method according to an embodiment of the present application.

Please refer to Figure 1, the encoding method includes:

S10: In the display image of the preset display data, obtain the original compensation value of each pixel in the target pixel block.

In order to make the display effect stable, a compensation method needs to be adopted. There are two methods: internal compensation and external compensation.

External compensation can be divided into optical extraction and electrical extraction according to different data extraction methods. The optical extraction type means that the brightness signal is extracted by the method of taking an optical CCD after the backplane is lit. The electrical extraction type means that the electrical signals of the TFT and OLED are extracted through the induction circuit of the driving chip.

S20: Calculate the fluctuation reference value of each pixel according to the original compensation value.

After the compensation data is acquired, the compensation data is to be stored in a readable storage unit for the display component to perform compensation work during operation.

Exemplarily, in the compensation mode of AMOLED Demura, the generated compensation data is effectively compressed to facilitate storage; the compressed data is stored in the Flash; when the Demura function is enabled, the data is extracted from the Flash to the driver IC. In the SRAM, the IC decompresses the data to obtain complete compensation data.

Optionally, in the encoding method provided by the embodiment of the present application, when compressing the compensation data, feature quantization is performed using the compensation average value as the fluctuation reference value. In other embodiments, feature quantification may also be performed with the median value of the compensation data as the fluctuation reference.

S30: Calculate the compensation fluctuation value according to the fluctuation reference value.

Exemplarily, the difference between the compensation value of each pixel and the fluctuation reference value may be calculated as the compensation fluctuation value.

S40: Divide each compensation fluctuation value by the quantization parameter to obtain the compensation quantization value of each pixel.

The quantization parameters can be appropriately selected according to the degree of compression required.

S50: Use a preset encoding model to encode the compensation quantization value to obtain an encoding result.

Exemplarily, for a plurality of pixels arranged in order in the target pixel block, after obtaining the corresponding compensation quantization values, zero-pass encoding or run-length encoding may be used to encode all the compensation quantization values according to the amount of encoded data. When the display component works, the same encoding model is used to decode and compensate the compressed compensated quantized value.

Optionally, in the display image of the preset display data, before the step of acquiring the original compensation value of each pixel in the target pixel block includes:

The display panel is divided into a plurality of pixel blocks according to a preset number of rows and columns.

For each pixel block, it can be encoded and stored as an independent target pixel block.

Optionally, in the display image of the preset display data, the step of acquiring the original compensation value of each pixel in the target pixel block includes:

Obtain the saliency value of each pixel in the target pixel block; identify the pixel to be compensated according to the preset recognition algorithm according to the saliency value; calculate the original compensation value according to the preset compensation algorithm according to the pixel to be compensated and the preset display data.

Optionally, the apparent value includes a luminance value and/or a chrominance value; and/or, the preset display data includes a grayscale picture or an RGBW picture.

Exemplarily, the general steps of De-Mura:

a. Drive IC lights up the panel (TV/mobile/Tablet) and displays several pictures (usually grayscale or RGB).

b. Use a high-resolution and high-precision CCD camera to take the above picture.

c. Analyze the pixel color distribution characteristics according to the data collected by the camera, and identify Mura according to the relevant algorithm.

d. Generate Demura data according to the mura data and the corresponding Demura compensation algorithm.

e. Burn the Demura data into the Flash ROM, re-shoot the compensated screen, and confirm that the Mura has been eliminated.

Exemplarily, AMOLED demura includes the following detailed steps:

1. Take pictures: Light up the AMOLED screen, import different pictures, use the CCD camera on the compensation device to take pictures, and automatically identify the sub-pixel arrangement relationship;

The images that need to be detected after lighting the panel are generally different according to the requirements of different panel manufacturers. Commonly there are 32, 64, 96, 160, 192, 224 grayscale RGB images, a total of 18 images.

The Demura of some panel manufacturers only compensates the difference in brightness, but not the difference in color. This kind of Luminance Demura generally only needs to detect grayscale images, and because the Mura presented in different grayscales is different, it generally detects the Mura of high, medium and low grayscales. , and finally the Demura data is averaged. Of course, the specific settings of different panel manufacturers will be selected according to their actual needs. Some panel makers carry out a more comprehensive Color Demura, that is, not only the brightness but also the chromaticity difference is compensated. The detection images of this type of color Demura, some use grayscale images, some use RGBW images, different panel manufacturers choose different according to technology and needs.

2. Import the collected pictures into a high-performance PC (the Demura tool software has been installed on the PC).

3. Use the Demura tool software on the PC to extract the original data, calculate the area of Mura, detect the boundary of Mura and generate compensation data.

4. When the Demura function is turned on, extract the complete compensation data, superimpose the compensation data with the original display data sent by the application, generate new data and transmit it to the Panel for display to confirm the Demura compensation effect.

Optionally, the fluctuation reference value includes a compensated mean value or a compensated median value.

The mean or median value of the compensation values of all the pixels in the target pixel block can relatively accurately reflect the chrominance level of the target pixel block.

Optionally, the step of calculating the average compensation value of each pixel according to the original compensation value includes:

Divide the sum of all original compensation values in the target pixel block by the product of the number of rows and columns of the target pixel block, and take the result as the compensation average.

Exemplarily, the original compensation values of eight pixels in a 2×4 pixel block are: 32, 31, 32, 32, 32, 31, 32, and 34, respectively, then the average compensation value of this pixel block is: (32+31+32+32+32+31+32+34)÷8=32. In other specifications of the pixel block can refer to the calculation.

Optionally, the step of calculating the compensation fluctuation value according to the fluctuation reference value includes:

Calculate the difference between the original compensation value of each pixel in the target pixel block and the fluctuation reference value as the compensation fluctuation value.

Exemplarily, the original compensation values of eight pixels in a pixel block of a target are: 32, 31, 32, 32, 32, 31, 32, 34, and the compensation average value of this pixel block is 32, then the compensation The volatility values are 0, -1, 0, 0, 0, -1, 0, 2, respectively.

Optionally, the step of dividing each compensation fluctuation value by the quantization parameter to obtain the compensation quantization value of each pixel includes:

The quantization parameter is selected from the parameter table according to the preset rule; the quotient of each compensation fluctuation value divided by the quantization parameter is rounded to the whole, as the compensation quantization value.

Exemplarily, considering the number of storage bits, the quantization parameter can be selected from 0, 2, 4, 8, etc. as the quantization parameter, so that after each compensation fluctuation value is divided by the quotient of the quantization parameter and rounded, all the coded values fall within the range. in the range -4, -3, -2, -1, 0, 1, 2, 3, 4. Exemplarily, when the quantization parameter is selected as 2, the quantization results with the compensation fluctuation values of 0, -1, 0, 0, 0, -1, 0, and 2 are respectively: 0, 0, 0, 0, 0, 0 , 0, 1. Optionally, multiple times of quantization can be selected, data with relatively low volatility is quantized to 0, and data with relatively high volatility is reserved for quantitative storage.

Optionally, the preset coding model is selected from run-length coding or zero-pass coding; the step of using the preset coding model to encode the compensation quantization value to obtain the coding result includes:

Use run-length encoding and zero-pass encoding respectively for encoding to obtain run-length encoding results and zero-pass encoding results respectively; compare the binary data amounts of the run-length encoding results and zero-pass encoding results; select the encoding model corresponding to the encoding result with the smallest amount of binary data is the default encoding model.

Exemplarily, based on the respective coding characteristics of run-length coding and zero-run coding, when there are several abnormally large compensation fluctuation values in the data, while other values are relatively small and flat, only larger values can be retained, and at this time, the Zero-pass encoding can achieve the purpose of reducing the amount of data in the encoding result. When the compensation fluctuation value data is relatively flat and concentrated, run-length coding can be used to reduce the data amount of the coding result. Optionally, when the data fluctuates greatly and some high-frequency areas appear, you can choose to quantify the low-frequency data as 0. In other embodiments, the errors of the two encoding modes may also be compared, and the encoding mode with the smaller error may be selected for encoding.

Optionally, in the selection of the encoding model, the reconstructed value of the compensation value can be obtained by reverse decoding after encoding, and then compared with the original compensation data. At this time, the encoding method with a smaller error can be selected as a current target pixel. How the block is encoded.

Optionally, the step of encoding the compensation quantization value using a preset encoding model to obtain an encoding result includes:

The fluctuation reference value is encoded and stored according to the first number of bits.

Exemplarily, when the compensation average value is 32, the fluctuation reference value of the target pixel block may be stored according to a 6-bit data segment.

Optionally, the step of encoding the compensation quantization value using a preset encoding model to obtain an encoding result includes:

The quantization parameter is stored encoded according to the second number of bits.

Exemplarily, the quantization parameter may represent 4 values within the selection range of 0, 2, 4, and 8, respectively, according to a 2-bit data segment.

Optionally, the step of encoding the compensation quantization value using a preset encoding model to obtain an encoding result includes:

The preset encoding model is encoded and stored according to the third number of bits.

Exemplarily, the preset encoding model may represent two encoding models of run-length encoding or zero-pass encoding, respectively, according to a 1-bit data segment.

Optionally, the step of encoding the compensation quantization value using a preset encoding model to obtain an encoding result includes:

The encoding result is encoded and stored to obtain encoding result storage data of the fourth number of bits.

Exemplarily, the encoding result may be stored according to the remaining space after subtracting the space occupied by the above-mentioned several data segments from the total storage space allocated to the target pixel block.

FIG. 2 is a flowchart of selecting a quantization parameter according to an embodiment of the present application.

Please refer to Fig. 2, optionally, the step of selecting quantization parameters in the parameter table according to preset rules includes:

S41: Select the minimum parameter in the parameter table to encode the target pixel block;

S42: Calculate the sum of the first quantity, the second quantity, the third quantity and the fourth quantity as a comparison value;

S43: Determine whether the contrast value is greater than the preset number. If yes, go to step S44, otherwise go to step S45;

S44: when the comparison value is greater than the preset number, exclude the minimum parameter from the parameter table, and return to step S41;

S45: Take the minimum parameter as the preset parameter.

You can choose to quantify multiple times, quantify data with relatively low volatility to 0, and retain data with relatively high volatility for quantitative storage. Exemplarily, when the amount of stored data after the first quantization is greater than 64 bits, a larger quantization parameter is selected for the second quantization, so that the compression-encoded compensation data of the target pixel block can be stored in the limited 64-bit storage space.

On the other hand, the present application also provides a display module. Specifically, the display module includes a processor and a memory connected to the processor; a computer program is stored on the memory; the processor is used for executing the computer program read from the memory, so as to implement the above encoding method.

Exemplarily, in a 4×8 pixel block of a display module, each pixel is 8 bits, and the size of the original compensation data is 4×8×8, a total of 256 bits. When the allocated compensation data storage space is 64 bits, the encoded data needs to be compressed within 64 bits. The original compensation value of each pixel in the target pixel block is shown in Table 1.

32 32 32 32 32 32 33 33 32 32 32 32 32 32 32 33 32 33 32 32 31 32 32 34 33 33 32 32 31 32 34 34

Table 1red32 target pixel block compensation value

From the original compensation value in Table 1, the average compensation value can be calculated as 32. The fluctuation value data in Table 2 can be obtained by uniformly subtracting 32 from each pixel value in the target pixel block.

0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 1 0 1 0 0 -1 0 0 2 1 1 0 0 -1 0 2 2

Table 2 Table 1 data uniform minus compensation average

Set the quantization parameter set Qt={0, 2, 4, 8, 16, 32, 64, 128}, so that the selected quantization parameter is stored in a 3-bit storage space. The fluctuation value of each pixel is divided by the chosen quantization parameter value, and the quotient is rounded and reserved so that all quantized data are in the integer range between -4 and 4. Exemplarily, if rounded up, the quantified data set is in the range of {-3,-2,-1,0,1,2,3,4}; if rounded down, the quantified data set is in {-3,-2,-1,0,1,2,3,4} 4, -3, -2, -1,0, 1,2,3} range, so that 3bit can be used for encoding and expression. By quantifying the fluctuation value data in Table 2, the quantification results in Table 3 can be obtained.

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1

Table 3 quantizes the results of Table 2 (move 2 bits to round)

For the quantization results, run-length coding and zero-pass coding can be used for compression. When the data fluctuates greatly, a high-frequency region appears, and the low-frequency data is quantized to 0.

When there are several abnormally large values in the data, and other values are relatively small and flat, larger values can be reserved and zero-pass encoding is used; when the data is relatively flat and concentrated, run-length encoding can be used.

After decoding, the reconstructed value is obtained, compared with the original value, and the encoding model with smaller error is selected as the encoding model of the current target pixel block. After the encoding model is selected, it can be expressed with a 1-bit storage field.

According to the quantization results in Table 3, run-length encoding and zero-pass encoding are performed, and the encoding results are shown in Table 4.

Table 4 performs run-length coding and zero-run coding on the data in Table 2 and Table 3

Exemplarily, it is assumed that the above-mentioned target pixel block will be stored in a 64-bit storage space. Since the original error compensation data is around 32, the average value of its error compensation can be calculated first and expressed in 5-bit or 6-bit storage. The quantization parameter is stored in 2 bits to express four optional parameters of 0, 2, 4, and 8. Use 1bit to store the encoding mode of the selected run-length encoding or zero-pass encoding. The remaining 55 bits are used to encode and store the final quantized value.

Please continue to refer to Table 4. When the quantized data is stored according to the run-length encoding method, the result after quantization by selecting quantization parameter 2 has 4 quantization lines. The quantized effective value of each line is represented by 3 bits, and the number of values in each line is represented by 5 bits. Then, only (3bit+5bit)×4, that is, 32bit, can express the above quantization result. When the quantized data is stored according to the zero-pass encoding method, the result after quantization by selecting quantization parameter 2 has 3 quantization lines, the quantized effective value of each line is represented by 3 bits, and the number of 0s before the significant digits of each line is represented by 5 bits. , then only (3bit+5bit)×3, that is, 24bit, can express the above quantization result. Therefore, in the above embodiment, the use of zero-pass encoding can achieve a larger compression ratio, and all stored data only needs a total of 32 bits of storage space of 8+24 bits. In other embodiments, the errors of the two encoding modes may also be compared, and the encoding mode with the smaller error may be selected for encoding.

Optionally, when the quantized value encoded data exceeds 55 bits, choose to increase the quantization parameter, and re-encode until the final quantized value of the target pixel block can be expressed using 55 bits for storage. In another embodiment, the average value of error compensation may not be stored, and the average target luminance value of the image displayed by the current target pixel block may be used as the average value of error compensation during compensation.

When the display module is working, the compressed and encoded data stored in the above 64bit space is read and decompressed in reverse. Exemplarily, the quantization results in Table 4 above are restored using the quantized encoded data and the encoding mode specified by the storage field. Then, according to the quantization results in Table 4, the quantization data corresponding to each pixel in Table 3 is inferred. Then, using the product of the quantization data corresponding to each pixel and the quantization parameter specified by the storage field, plus the stored error compensation average value, the original compensation value approximated to Table 1 can be reconstructed, so that the display module can be used in the target pixel block. In our work, we use the reconstructed original compensation value to perform chrominance compensation for each pixel. In another embodiment, after obtaining the product of the quantization data corresponding to each pixel and the quantization parameter specified by the storage field, the display module obtains the average target chromaticity value of the real-time display image, and is based on the target chromaticity value. The target pixel block performs chroma compensation.

On the other hand, the present application also provides a storage medium, in particular, a computer program is stored on the storage medium, and the computer program implements the above encoding method when executed by a processor.

Exemplarily, for the original pixel area of 4*8 size, there are 32 original data in total, and each data is 8 bits. First calculate the mean value of 32 data and record it as avg, and subtract the mean value from the original data and record it as blockDiff (4*8). Assuming that the original data is relatively flat (called low-frequency data, that is, the change between data is relatively small), then blockDiff data It is concentrated in the range around 0. As shown in the above chart, the mean of the original data is 32. After subtracting 32 from the original data, the obtained data is between [-1, 2].

If run-length coding is used at this time, that is, we count from left to right, top to bottom, there are 6 0s, recorded as [0,6] (count 1); 2 1s, recorded as [1,2] (count 2); And so on, assuming the value is between [-4, 4], then the number can be represented by 3bit, the maximum number is 32, which can be represented by 5bit, for each count, we can use 8bit to represent . For example, the run-length encoding in the above chart has 15 counts, so a total of 15*8bits are required, and the original data is 4*8*8=256bits, so half of the compression is basically realized. At this time, if you want to achieve quarter compression, you can choose the quantization factor 2, divide the blockDiff value by 2 and round it up to get the result of quantization 2 under run-length coding, then there are only 4 count lines after the quantization 2 step, At this point, 4*8=32bit can be used for compression.

If you choose zero-pass encoding, when the data fluctuation is relatively large, try to retain the data with a large difference between the data and the mean fluctuation, such as the edge information of the image, which belongs to high-frequency information, but the information that can reflect the data is the large fluctuation. At this time We need to keep this information on it. The data that are close to the mean are discarded through quantitative methods. Zero-pass coding is mainly used to count the number of 0s. When the quantization factor is large in the high-frequency region, the number of 0s will be larger, and the non-zero value is the high-frequency information that needs to be retained. The choice of quantization factor For the same-run encoding, reference may be made to the above-mentioned embodiments.

In the selection of the encoding method, the selection can be made according to the final compression amount or the size of the error. For example, the encoding method with the least amount of data after compression can be selected, or the encoding method with the smallest encoding error can be selected. After the encoding is completed, it is necessary to use 8bit to store the mean value, use 2 or 3bit to represent the quantization factor, use 5bit or 6bit to store the mean value avg, and use 1bit to express the selected encoding method, then a higher compression ratio is achieved.

In the above embodiment, when decoding, the corresponding value needs to be multiplied by 2, and then the mean value needs to be added, and the original data can be recovered according to the reverse of the encoding method. If the data jitter is relatively large, then a larger quantization factor is required to compress the data to, for example, one-half or one-quarter.

As above, the encoding method of the present application includes the steps of: in the display image of the preset display data, obtaining the original compensation value of each pixel in the target pixel block; calculating the fluctuation reference value of each pixel according to the original compensation value; Calculate the compensated fluctuation value from the fluctuation reference value; divide each compensated fluctuation value by the quantization parameter to obtain the compensated quantized value of each pixel; use the preset encoding model to encode the compensated quantized value to obtain the encoding result. Through the above technical solution, the compressed storage of the compensation data can be realized, and the problem of the rapid increase of the data storage amount when the large pixel block is the basic block can be solved.

It should be noted that, herein, the terms "comprising", "comprising" or any other variation thereof are intended to encompass non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements, It also includes other elements not expressly listed or inherent to such a process, method, article or apparatus. Without further limitation, an element defined by the phrase "comprises a..." does not preclude the presence of additional identical elements in the process, method, article, or device that includes the element, and further, different implementations of the present application Components, features and elements with the same names in the examples may have the same meaning or may have different meanings, and their specific meanings need to be determined by their explanations in this specific embodiment or further combined with the context in this specific embodiment.

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 by these terms. These terms are only used to distinguish the same type of information from each other. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of this document. The word "if" as used herein can be interpreted as "at the time of" or "when" or "in response to determining", depending on the context. Also, as used herein, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context dictates otherwise.

It should be noted that, in this article, step codes such as S10 and S20 are used, the purpose of which is to express the corresponding content more clearly and briefly, and does not constitute a substantial restriction on the sequence. Those skilled in the art may S20 will be executed first and then S10, etc., but these should all fall within the protection scope of this application.

The embodiments of the smart terminal and the computer-readable storage medium provided in this application may include all the technical features of any of the above-mentioned XX method embodiments, and the expansion and interpretation content of the description are basically the same as those of the above-mentioned method embodiments. To repeat.

Embodiments of the present application also provide a computer program product, where the computer program product includes computer program code, when the computer program code runs on a computer, the computer can execute the methods in the various possible implementation manners above.

An embodiment of the present application further provides a chip, including a memory and a processor, where 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 the device with the chip installed executes the various possible implementation manners described above. Methods.

The technical features of the technical solutions of the present application can be combined arbitrarily. In order to simplify the description, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, all It should be considered as the scope described in this application.

From the description of the above embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus a necessary general hardware platform, and of course hardware can also be used, but in many cases the former is better implementation. Based on such understanding, the technical solutions of the present application can be embodied in the form of software products in essence or the parts that make contributions to the prior art, and the computer software products are stored in the above storage medium (such as ROM/RAM, magnetic CD, CD), including several instructions to make a terminal device (which may be a mobile phone, a computer, a server, a controlled terminal, or a network device, etc.) to execute the method of each embodiment of the present application.

In the above-mentioned embodiments, it may be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented in software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the procedures or functions according to the embodiments of the present application are generated in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable device. Computer instructions may be stored on or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from a website site, computer, server, or data center over a wire (e.g. coaxial cable, optical fiber, digital subscriber line) or wireless (eg infrared, wireless, microwave, etc.) means to another website site, computer, server or data center. A computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server, a data center, or the like that includes an integration of one or more available media. Useful media may be magnetic media (eg, floppy disks, storage disks, magnetic tapes), optical media (eg, DVD), or semiconductor media (eg, Solid State Disk (SSD)), among others.

The above are only the preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made by using the contents of the description and drawings of the present application, or directly or indirectly applied in other related technical fields , are similarly included within the scope of patent protection of this application.

Claims (13)

1. A method for encoding compensation data of a display panel, the method comprising:

acquiring an original compensation value of each pixel in a target pixel block in a display image of preset display data;

calculating a fluctuation reference value of each pixel according to the original compensation value;

calculating a compensation fluctuation value according to the fluctuation reference value;

dividing each compensation fluctuation value by a quantization parameter to obtain a compensation quantization value of each pixel;

and coding the compensation quantization value by using a preset coding model to obtain the coding result.

2. The encoding method according to claim 1, wherein the step of obtaining the original compensation value for each pixel in the target block of pixels in the display image of the preset display data comprises:

dividing the display panel into a plurality of pixel blocks according to the preset number of rows and columns.

3. The encoding method according to claim 1, wherein the step of obtaining the original compensation value for each pixel within the target block of pixels in the display image of the preset display data comprises:

acquiring a display value of each pixel in the target pixel block;

identifying the pixel to be compensated according to a preset identification algorithm according to the display value;

and calculating the original compensation value according to a preset compensation algorithm according to the pixel to be compensated and the preset display data.

4. The encoding method according to claim 3, wherein the luminance value includes a luminance value and/or a chrominance value; and/or the preset display data comprises a gray scale picture or an RGBW picture.

5. The encoding method of claim 1, wherein the fluctuation reference value includes a compensated average value or a compensated median value.

6. The encoding method of claim 5, wherein the step of calculating a compensated average value for each pixel from the original compensation values comprises:

dividing the sum of all the original compensation values in the target pixel block by the product of the number of rows and the number of columns of the target pixel block, and taking the result as the compensation average value.

7. The encoding method according to claim 1, wherein the step of calculating a compensation fluctuation value based on the fluctuation reference value comprises:

and respectively calculating the difference between the original compensation value and the fluctuation reference value of each pixel in the target pixel block as the compensation fluctuation value.

8. The encoding method according to any one of claims 1 to 7, wherein the step of dividing each compensation fluctuation value by the quantization parameter to obtain a compensated quantization value for each pixel comprises:

selecting the quantization parameter in a parameter table according to a preset rule;

and dividing each compensation fluctuation value by the quotient of the quantization parameter to be rounded respectively to be used as the compensation quantization value.

9. The encoding method of claim 8, wherein the predetermined coding model is selected from run-length coding or zero-length coding; the step of encoding the compensated quantization value by using the preset encoding model to obtain the encoding result comprises:

respectively using the run-length codes and the zero-length codes to carry out coding so as to respectively obtain run-length coding results and zero-length coding results;

comparing the binary data quantity of the run-length coding result and the zero-length coding result;

and selecting the coding model corresponding to the coding result with the minimum binary data quantity as the preset coding model.

10. The encoding method according to claim 9, wherein the step of encoding the compensated quantization value using the preset encoding model to obtain the encoding result is followed by at least one of:

coding and storing the fluctuation reference value according to a first number of bits; storing the quantization parameter according to a second number of bit codes; the preset coding model is coded and stored according to a third number of bits; and coding and storing the coding result to obtain coding result storage data of a fourth number of bits.

11. The encoding method of claim 10, wherein the step of selecting the quantization parameter in a parameter table according to a predetermined rule comprises:

s41: selecting the minimum parameter in the parameter table to encode the target pixel block;

s42: calculating the sum of the first number, the second number, the third number and the fourth number as a contrast value;

s43: and judging whether the comparison value is greater than the preset number. If yes, the step S44 is carried out, otherwise, the step S45 is carried out;

s44: when the contrast value is greater than the preset number, excluding the minimum parameter from the parameter table, and returning to the step S41;

s45: and taking the minimum parameter as the preset parameter.

12. A display module is characterized by comprising a processor and a memory connected with the processor;

the memory having stored thereon a computer program;

the processor is configured to execute the computer program read from the memory to implement the encoding method according to any one of claims 1 to 11.

13. A storage medium, characterized in that the storage medium has stored thereon a computer program which, when being executed by a processor, implements the encoding method according to any one of claims 1 to 11.

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