Single Image Haze Removal with Radiance Reflectance Minimization Using Illuminated Optimization and K-Means Clustering

Abstract

Abstract: Haze removal is one of the important factors considered to avoid accident on roads during travelling. Most of the accident occurred in the snow and cloudy regions are due to the haze formation in road while driving. The view occurred on nighttime is differ from the view on daytime. During nighttime improper illumination will occur due to artificial light source with color distortion. In this paper the new method is developed to overcome de haze proper due to improper illumination and scattering of the light. Three step process is implemented in this i) Initially the radiance reflection optimization is performed ii) Once it is applied then to remove the haze the radiance reflection optimization with structured LO-NORM is performed iii) The haze in an image is removed from an image by applying the dark channel method and the illumination level will be estimated. The PSNR value of an image is calculated to check the quality of an image. Then the clustering for a de hazed image is performing using k-mean and fuzzy c-mean (FCM). The result show that the prospective process is better than current one and illumination balance is done effectively, and the image will be haze free