Evaluation of a New Integrated Fog Removal Algorithm IDCP with Airlight

Abstract

This paper has proposed a new fog removal technique IDCP which will integrate dark channel prior with CLAHE and adaptive gamma correction to remove the fog from digital images. Fog in image reduces the visibility of the digital images. Poor visibility not only degrades the perceptual image quality but it also affects the performance of computer vision algorithms such as object detection, tracking, surveillance and segmentation.Various factors such as fog, mist and haze caused by the water droplets present in the air during bad weather leads to poor visibility. The proposed algorithm is designed and implemented in MATLAB using image processing toolbox. The comparison among Air-light and the proposed algorithm is also drawn based upon certain performance parameters. The comparison analysis has shown that the proposed algorithm has shown quite effective results.

A Comprehensive Study on Various Haze Removal and Visibility Restoration Techniques for Image Processing

“…Arora T et al (2014) has been proposed a new Integrated Dark Channel Prior (IDCP) method by the combination of Dark Channel Prior (DCP), Contrast limited adaptive histogram equalization (CLAHE) and Gama correction method. [3] main scope of this algorithm is improve the accuracy of Intelligent Transportation system (ITS). Ansia et al(2014) has proposed a method focus on contrast based single image dehazing .…”