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Haze Removal from Underwater Images using Mixture Contrast Limited Adaptive Histogram Equalization

Author(s):
Manpreet Kaur Saggu , GNDU, Regional Campus, Gurdaspur; Satbir Singh, GNDU, Regional Campus, Gurdaspur

Keywords:
Haze, Fog Removal, CLAHE, HSV CLAHE, RGB CLAHE, Mix-CLAHE

Abstract

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.

Other Details
Paper ID: IJSRDV3I50131
Published in: Volume : 3, Issue : 5
Publication Date: 01/08/2015
Page(s): 25-27

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