Haze Removal from Underwater Images using Mixture Contrast Limited Adaptive Histogram Equalization
Manpreet Kaur, Satbir Singh · 2015
The images degraded by haze suffer from poor contrast. In order to remove haze effect, a Contrast limited adaptive histogram equalization (CLAHE) and Mixture contrast limited adaptive histogram equalization (Mix- CLAHE) methods are presented in this paper. Mixture Contrast Limited Adaptive Histogram Equalization color models that specifically developed for underwater image enhancement. The method applies CLAHE on RGB and HSV color models and both results are combined together. Experimental results show that the Mix-CLAHE have better results than HSV and RGB CLAHE. Mix-CLAHE significantly improves the visual quality of underwater images by enhancing contrast, as well as minimizing noise and artifacts.