关键词: 关键词:局部伽马校正, 自适应, 低照度图像, 图像增强

Abstract: Abstract: For images with uneven illumination， an adaptive local Gamma correction method for low-illumination image enhancement is designed. The algorithm uses the modified probability density function of the local area as the calculation basis of the Gamma correction coefficient， and adjusts the Gamma coefficient adaptively according to the content of the local scene of the image. Meanwhile， by correcting the hue and color saturation， the color deviation problem in the process of low illumination image enhancement can be improved. The idea of the whole algorithm is simple， and it can adapt to the image enhancement of different scenes without manually adjusting the parameters. The experimental results show that the method in this paper can improve the brightness and local contrast of low-illumination color images， and at the same time obtain higher contrast， it can effectively highlight the details of dark areas， without the phenomenon of overexposure and underexposure， and the enhanced image can  present better color richness and naturalness.

Key words: Key words: local gamma correction, adaptive, low-illumination image, image enhancement