IMPROVED DARK CHANNEL PRIOR USING GABOR FILTER AND CLAHE

Er. Harpoonamdeep Kaur, Dr. Rajiv Mahajan

ABSTRACT Fog removal likewiserecognized as visibility restoration refers to diverse techniques that intend to diminish or uproot the degradation that have happened while the digital image was being acquired. The degradation may be because of differentreasonsalike relative object-camera movement, distortion because of camera miss-focus, relative atmospheric turbulence and others. This paper has concentrated on different fog evacuationmethods. Haze removal has discovered to be an intense task in light of the fact that fog relies on the unknown scene depth information. Fog effect is the function of distance between camera and object. Hence removal of fog requires the estimation of air light map or depth map. Current researchers has ignored theprocedures to lessen the noise problem which is presented in the output images of the existing fog removal algorithms and also, nowork has concentrated on the collaboration of the Dark channel prior and the CLAHE. The problem of the irregularlight is also ignored. So this research work has proposed a new fog removal model to efficiently reduce the effect of the fog from digital images. Index terms: Fog removal, image enhancement, visibility restoration,

Title:	IMPROVED DARK CHANNEL PRIOR USING GABOR FILTER AND CLAHE
Author Name:	Er. Harpoonamdeep Kaur, Dr. Rajiv Mahajan
Abstract:	ABSTRACT Fog removal likewiserecognized as visibility restoration refers to diverse techniques that intend to diminish or uproot the degradation that have happened while the digital image was being acquired. The degradation may be because of differentreasonsalike relative object-camera movement, distortion because of camera miss-focus, relative atmospheric turbulence and others. This paper has concentrated on different fog evacuationmethods. Haze removal has discovered to be an intense task in light of the fact that fog relies on the unknown scene depth information. Fog effect is the function of distance between camera and object. Hence removal of fog requires the estimation of air light map or depth map. Current researchers has ignored theprocedures to lessen the noise problem which is presented in the output images of the existing fog removal algorithms and also, nowork has concentrated on the collaboration of the Dark channel prior and the CLAHE. The problem of the irregularlight is also ignored. So this research work has proposed a new fog removal model to efficiently reduce the effect of the fog from digital images. Index terms: Fog removal, image enhancement, visibility restoration,
Cite this article:	Er. Harpoonamdeep Kaur, Dr. Rajiv Mahajan , " IMPROVED DARK CHANNEL PRIOR USING GABOR FILTER AND CLAHE " , International Journal of Application or Innovation in Engineering & Management (IJAIEM), Volume 3, Issue 7, July 2014 , pp. 127-134 , ISSN 2319 - 4847.
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