Multi-pixel fusion compression and decompression method for display Mura calibration
A compression method, multi-pixel technology, applied in static indicators, instruments, etc., to reduce errors, ensure DeMura quality, and reduce the amount of data
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Embodiment 1
[0043] This embodiment provides a multi-pixel fusion compression method for display Mura calibration. This embodiment takes the 1x2 compression method as an example, including the following steps:
[0044] Shooting: Use an imaging luminance meter to shoot several grayscale images of the same color of the display screen to be tested.
[0045] For a specific screen, the gray levels of the 18 three colors captured are {R1, R2, R3, R4, R5, R6, G1, G2, G3, G4, G5, G6, B1, B2, B3, B4, B5, B6}, where R stands for red, G stands for green, and B stands for green. For example, R1 is red with 32 gray levels (displaying 8bit color depth, the maximum value is 255).
[0046] Image extraction: Extract the sub-pixel brightness value of each sub-pixel in each gray-scale image of the same color ; Wherein, i and j are both positive integers, i is the serial number of the grayscale image of the same color, and j is the sub-pixel serial number. The data of 18 gray scales is captured, and the di...
Embodiment 2
[0070] In this embodiment, the method for decompressing the Mura calibration data of Embodiment 1 includes the following steps:
[0071] The modeling parameter encoded value is restored to a modeling parameter. Taking the same set of coding values of modeling parameters shared by every two adjacent sub-pixels in Example 1 as an example, we will restore these two sub-pixels based on decoding. If we do not consider the error of data compression, we can obtain accurate k j(1,2) =3.774, b j(1,2) =-0.0063.
[0072] Using the modeling parameters as the parameters of the fitting function to obtain the fitting function, namely ;
[0073] Substitute the gray value of each gray scale into the fitting function, and calculate the average gray scale decoding value of the 1×2 sub-pixel block of each gray scale (the function value in Table 3);
[0074] The average grayscale decoded value is subjected to gamma transformation to obtain the average luminance decoded value of each graysca...
Embodiment 3
[0084] The difference between this embodiment and Embodiment 1 and Embodiment 2 is that a quadratic function is used for fitting, and the fitting function obtained is: , at this time the modeling parameters include 3, a=0.0659, b=3.3679, c=0.4042. After compression and decompression, the obtained errors are shown in Table 5:
[0085] Table 5 Comparison of decoded errors of sub-pixel luminance values of quadratic fitting
[0086]
[0087] Among them, the error data of the sub-pixel j and the sub-pixel j+1 having the coded value of the brightness difference information are obviously smaller.
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