Enhanced Mist Elimination using Dark Channel Prior and Gaussian Domain based Adaptive Gamma Correction
Gagandeep Singh · 2014
Removal of fog from a digital image of a climatic corrupted scene has assessed to be a complicated task since the fog is dependent on the unidentified intensity data. Mist removal techniques have in recent times shown a great role in a variety of vision applications. It has been shown in existing research that the most of the existing techniques have many problems. To conquer the limitations of the prior work; a novel techniques has been proposed in this paper. The proposed method has enhanced dark channel prior by using the Gaussian domain based adaptive gamma correction. The proposed algorithm is composed and actualized in MATLAB using image processing toolbox. The comparison among dark channel prior and the proposed algorithm is also drawn based upon certain performance parameters. The comparison analysis has verified that the proposed algorithm has shown truly effective results.