A Review on Fog Removal Techniques

Authors

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

Keywords:

Fog Removal, restoration, image acquisition, air light, attenuation, visibility enhancement, contrast enhancement

Abstract

Fog, haze and smoke are a big reason of road accidents. Fog reduces contrast level of the image that affects
the visual quality of the image. In field of computer vision visual quality and visibility level of an image is affected by
airlight and attenuation phenomena. Air particles, which present in atmosphere and affect the visibility level of any
object, are called noise or unwanted signal between observer and object. For improving the visibility level of an image
and reducing fog and noise various image enhancement methods are used. After enhancement is again restored the
enhanced image by restoration methods. For improving the visibility level 4 major steps are used. First step is
acquisition process of foggy images. Second is estimation process ( estimate scattering phenomena, visibility level). Third
is enhancement process (improve visibility level, reduce fog or noise level). Last step is restoration process (restore
enhanced image). The main aim of this paper is to review state-of-art image enhancement and restoration methods for
improving the quality and visibility level of an image which provide clear image in bad weather condition. We also
compare prevalent approaches in this area through implementation of the methods keeping parameters common for
critical analysis. In the end we provide the future scope for working directions in this area for the readers.

Published

2015-01-25

How to Cite

Vishal Kahar, & Bhailal Limbasiya. (2015). A Review on Fog Removal Techniques. International Journal of Advance Engineering and Research Development (IJAERD), 2(2), 212–217. Retrieved from https://ijaerd.com/index.php/IJAERD/article/view/525