Histogram Equalization Based Defogging of Fogged Image
Shafiya. Shaik1, K. Sujatha2, M. Kumaresan3, V. Srividhya4
1Shafiya. Shaik, Research Scholar, ECE Dept., Dr. MGR Educational & Research Institute, Chennai, Tamil Nadu, India.
2Dr. K. Sujatha, Professor, EEE Dept., Dr. MGR Educational & Research Institute, Chennai, Tamil Nadu, India.
3Dr. M. Kumaresan, Professor, ECE Dept., Dr. MGR Educational & Research Institute, Chennai, Tamil Nadu, India.
4V. Srividhya, Asst. Prof., Dept. of EEE, Meenakshi College of Engineering, Chennai, Tamil Nadu, India.
Manuscript received on 03 July 2019 | Revised Manuscript received on 09 July 2019 | Manuscript published on 30 August 2019 | PP: 1420-1422 | Volume-8 Issue-10, August 2019 | Retrieval Number: J10070881019/19©BEIESP | DOI: 10.35940/ijitee.A1007.0881019
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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: Foggy images causes contrast loss and color distortion and fog changes the visibility of scene. Fog removal algorithm used in tracking and navigation, consumer electronics, and entertainment industries. Many algorithms are proposed for efficient fog removal. Existing defogging methods cannot produce accurate scene transmission in removable of their unpleasing distortion and it is high complexity. In this paper, fog removal algorithms/techniques are represented for image processing. The overall objective of this paper is to explore images from fogged image by using histogram equalization. In the end, the proposed method is tested on several foggy images.
Keywords: Histogram equalization, colour distortion, defogging.
Scope of the Article: Image analysis and Processing