IMPROVED RETINEX IMAGE ENHANCEMENT ALGORITHM BASED ON RESIDUAL FUSION
In order to solve the problems of blurred edge texture,low brightness and low contrast of low-illumination image,an improved Retinex image enhancement algorithm based on residual fusion is proposed.Adaptive multi-scale guided filtering(AMGF)was used to replace Gaussian kernel function,and reflected image was obtained according to Retinex theory.The contrast of reflected image was stretched by CLAHE.The input image residual was extracted by L0 norm for fusion.Color recovery processing was carried out.Experimental results show that the edge detail expression ability of low illumination images is improved by the proposed algorithm effectively,and images quality and visual effect are improved.
国家科技期刊平台
NSTL
万方数据
维普
