AN IMPROVED ALGORITHM FOR LOW CONTRAST HAZY IMAGE DETECTION USING DCP

Abstract

Area of Image Processing includes image quality enhancement, tracking or detecting object, video quality enhancement, video analysis etc. The aim of video analysis is to develop intelligent systems that can take de cisions as per the situations.. Therefore existing work mainly concentrated on video quality enhancement and detect particular object from the video. Following report focuses on those problems, that occurs during bad weather condition (ex. fog, haze, snow or rainy conditions). Existing work shows quality enhancement for low resolution videos or for single images, but few algorithms are developed for enhancing bad weather condition videos, which normally have low resolution, high noise and compression artifacts. To remove the fog fro m the sequence of frames is one of the most challenging task of video processing. Proposed method works with DCP method for i mprove the performance of fog removal process. The propose method first recognize wather input image is a foggy image or low contrast image by CLAHE algorithm and then DCP method apply if input image is foggy image.