GAMMA curve adjusting method based on deep learning and device thereof

Abstract

The invention discloses a GAMMA curve adjusting method based on deep learning. The method comprises the steps of acquiring a second initial brightness value or/and a second initial chromatic value of a target GAMMA tie poing of an OLED module, and comparing the second initial brightness value or/and the second initial chromatic value with each initial brightness value or/and each first initial chromatic value, thereby obtaining the first initial brightness value or/and the first initial chromatic value with least error with the second initial brightness value or/and the second initial chromatic value; and setting the first initial brightness value or/and the first initial chromatic value with the least error as the RGB register configuration value of a target GAMMA tie point. According to the method and the device, through classification learning on the relation between the initial brightness value or/and the initial chromatic value and the RGB register configuration value, a high-precision data model can be supplied for quick adjustment for the GAMMA curve of the OLED module, thereby satisfying a requirement for high quality and high efficiency of an OLED module production line.

Description

technical field [0001] The present invention relates to the field of OLED module GAMMA curve adjustment, in particular to a deep learning-based GAMMA curve adjustment method and device, according to the initial brightness value and RGB register configuration value of the GAMMA binding points of multiple OLED module samples The deep learning of the relationship, or the deep learning of the relationship between the initial chromaticity value and the RGB register configuration value, or the deep learning of the initial chromaticity value, the initial chromaticity value and the deep learning of the relationship between the RGB register configuration value, can be directly performed on the OLED module. GAMMA curve adjustment. Background technique [0002] OLED has the characteristics of self-luminescence, clear and bright, light and thin, fast response, wide viewing angle, low power consumption, wide applicable temperature range, low cost, simple manufacturing process, etc. It is...

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Problems solved by technology

[0005] 1) This GAMMA adjustment solution for OLED modules takes a long time, and needs to perform GAMMA adjustment on OLED modules one by one, which has low efficiency and cannot meet the requirements of mass production of OLED module production lines;

[0006] 2) If you want to imp

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