Paper Details

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

Vishal Kahar, Bhailal Limbasiya, “A Review on Fog Removal Techniques”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 2, pp. 212-217, February 2015.