An underwater image enhancement method based on color correction and transmission rate estimation
Yanhua Peng, Yipu Yan, Guoyu Chen, Haibei Lan · 2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP) · 2022
Aiming at the problems of color deviation and poor visibility of underwater images, an underwater image enhancement method based on color correction and transmission estimation (CCTE) is proposed. The method combines the global information of the attenuation channel with the pixel point information to adaptively correct the color deviation of the image so that the histogram distribution of the three channels is similar; the transmission is estimated based on the image blur to remove the blur effect of the underwater image; the multi-scale fusion process is combined Achieve artifact-free fusion of color-corrected images with sharp images. The qualitative and quantitative experimental results show that the enhanced images obtained by the CCTE method in this paper have good color perception and sharper details, and the UIQM and UCIQE scores on the RUIE dataset are 18.43% and 7.00% higher, respectively, compared to the optimal values in other methods, which are highly competitive.