A Robust Technique to Remove Fog from Single Image
Ashok Kumar Shrivastava1, Sanjay Jain2 

1Ashok Kumar Shrivastava, Department of Computer Science & Engineering, Noida International University, Greater Noida, India
2Dr. Sanjay Jain, Department of CSA, ITM University, Gwalior, India.

Manuscript received on 01 March 2019 | Revised Manuscript received on 05 March 2019 | Manuscript published on 30 July 2019 | PP: 3124-3130 | Volume-8 Issue-2, July 2019 | Retrieval Number: B2758078219/19©BEIESP | DOI: 10.35940/ijrte.B2758.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: 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.
Index Terms: Computer Vision Techniques, Foggy/Hazy Image, Image Reconstruction, Mean Filter, Unpleasant Environment.

Scope of the Article: Image Processing and Pattern Recognition