An Improved algorithm for Low Contrast Hazy Image Detection using DCP

Authors

  • Vishal Kahar Department of Computer Science, Parul Institute of Technology
  • Bhailal Limbasiya Department of Computer Science, Parul Institute of Technology

Keywords:

Fog Removal, Airlight map, Dark Channel Prior, Contrast Enhancement, Bilateral Filter, Restoration, Contrast Limited Adaptive Histogram Equalization(CLAHE)

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 from the sequence of frames is one of the most challenging task of
video processing. Proposed method works with DCP method for improve 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.

Published

2015-05-25

How to Cite

Vishal Kahar, & Bhailal Limbasiya. (2015). An Improved algorithm for Low Contrast Hazy Image Detection using DCP. International Journal of Advance Engineering and Research Development (IJAERD), 2(5), 1048–1055. Retrieved from https://ijaerd.com/index.php/IJAERD/article/view/1136