Open AccessA Robust Technique to Remove Fog from Single Image
Author(s) -
A. K. Shrivastava,
Sanjay Jain
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b2758.078219
Subject(s) - computer vision , visibility , artificial intelligence , computer science , contrast (vision) , smoothing , filter (signal processing) , identification (biology) , tracking (education) , image (mathematics) , optics , botany , physics , biology , psychology , pedagogy
Images captured in foggy/hazy environment suffers from poor visibility due to the increase of whiteness and low contrast. It affects vision applications used in object identification, surveillance, tracking and target setting. In this paper, a robust technique for removing fog from single image and enhance the visibility is proposed to satisfy vision applications. Proposed technique is simple and uses mean filter for image smoothing. Computer vision techniques are used to reconstruct image and contrast enhancement. Experiments on different foggy images shows the power of proposed technique.