An Improved algorithm for Low Contrast Hazy Image Detection using DCP
| Author(s) | : | Vishal Kahar, Bhailal Limbasiya |
| Institution | : | Department of Computer Science, Parul Institute of Technology |
| Published In | : | Vol. 2, Issue 5 — May 2015 |
| Page No. | : | 1048-1055 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Area of Image Processing includes image quality enhancement, tracking or detecting object, video qualityenhancement, video analysis etc. The aim of video analysis is to develop intelligent systems that can take de cisions as perthe situations.. Therefore existing work mainly concentrated on video quality enhancement and detect particular objectfrom 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, butfew algorithms are developed for enhancing bad weather condition videos, which normally have low resolution, highnoise and compression artifacts. To remove the fog from the sequence of frames is one of the most challenging task ofvideo processing. Proposed method works with DCP method for improve the performance of fog removal process. Thepropose method first recognize wather input image is a foggy image or low contrast image by CLAHE algorithm andthen DCP method apply if input image is foggy image.
Vishal Kahar, Bhailal Limbasiya, “An Improved algorithm for Low Contrast Hazy Image Detection using DCP”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 5, pp. 1048-1055, May 2015.
