Gamma correction system and its correction method

Abstract

A gamma correction system, and a correction method for the same. The method comprises: acquiring color coordinates of an R sub-pixel, a G sub-pixel, and a B sub-pixel in a pixel unit, and a brightness value thereof (S1); selecting n gray-scale values, calculating n first brightness values corresponding to the n gray-scale values for each of the sub-pixels, and using the n gray-scale values as horizontal coordinate values and the corresponding n first brightness values as vertical coordinate values to obtain n fitting points (S2); performing a fitting operation on the n fitting points to obtain a fitting curve for each of the sub-pixels (S3); and using a fitting curve having a total difference between n second brightness values and the n first brightness values corresponding to the sub-pixel that is less than a threshold value as the fitting curve of the sub-pixel, and storing the same in a memory device (S5). The brightness corresponding to a given gray-scale value of each sub-pixel can be obtained according to the fitting curve, such that gray-scale values are not required to be stored, thereby saving hardware resources. The entire correction process only requires fitting of n fitting points, thereby greatly reducing the time needed for gamma correction.

Description

technical field [0001] The invention relates to the technical field of liquid crystal display, in particular to a Gamma correction system and a correction method thereof. Background technique [0002] Gamma correction is to edit the Gamma curve of the display screen, and the Gamma curve is the relationship curve between the gray-scale voltage and the corresponding brightness. By adjusting the gray-scale voltage, the brightness of the display screen is edited nonlinearly. At present, the general gamma value standard of the display is 2.2, and the gamma value in the case of image distortion deviates from 2.2, so the gamma correction of the display is essential for accurate display colors. [0003] Traditional Gamma correction methods include manual correction and lookup tables. Manual calibration needs to test the gray value of each gamma gray scale register, compare it with the target gray value, debug the gray value, and cure it. The calibration takes a long time; the looku...

AI Technical Summary

Problems solved by technology

Manual calibration needs to test the gray value of each gamma gray scale register, compare it with the target gray value, debug the gray value, and cure it. The calibration takes a long time; the lookup table needs to store the gray value and the corresponding address in the memory. The input address is checked into the table, and the gray value is output. The correction accuracy is high, but the amount of stored data is large, and it takes up a lot of hardware storage resources.

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