• Sandeep Gupta
• Saira Baghel

Fog reduces the visibility of the scene which makes it hard to distinguish the objects. The entire process of eliminating the fog out of the picture is known as defogging. There are several kinds of fog such as radiation fog, ground fog, advection fog, evaporation fog, arctic sea smoke, precipitation fog, upslope fog, freezing fog, frozen fog, artificial fog. These degradations occur due to the attenuation of light and presence of air-light, light reflected from fog particles. The fog elimination technique is related to the atmosphere there is slight or no fog, the visual eminence may be decline during extreme contrast enhancement. In this paper, we discuss various techniques for fog remove to the enhancement of images such as histogram equalization, fuzzy logic based on AHE, dark channel prior approaches, visibility maps, defogging the HSV color image. All these techniques are widely used in many applications such as outdoor surveillance, object detection, etc. HE is a method for regulating image strength to augment contrast. It uses images cumulative distributive function to improve image contrast. Fuzzy logic based on AHE is a contrast enhancement technique. It is exploiting to resolve the irregular lighting dilemma in fog images. The DCP technique has worked well for fog removal in one image that lack contained light sources and precisely estimation the position of the atmospheric light. To measure the visibility at a particular pixel location, we estimate a visibility map or visibility map using the edge strength present in the image. To enhance the visibility of a foggy color image we first convert the input image IRGB to HSV color space and enhance the image quality. According to this, defects of DCP method, and we point that, if the image has the feature of low contrast and owning a large area with the background, DCP method will obtain an indistinct and dim result. In this section, we demonstrate our point with image and its histogram and improve DCP result with histogram specification. There is an improvement in terms of contrast, visible range, and color fidelity.

Defogging; Histogram Equalization; Fuzzy Logic based on AHE; DCP using histogram equalization; visibility map;defogging color image.

"Enhancement the image quality of fog image by using Histogram Equalization, Fuzzy Logic based on AHE, Dark Channel Prior by HE Method", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.621-629, December-2018, Available :http://www.jetir.org/papers/JETIR1812488.pdf

"Enhancement the image quality of fog image by using Histogram Equalization, Fuzzy Logic based on AHE, Dark Channel Prior by HE Method", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp621-629, December-2018, Available at : http://www.jetir.org/papers/JETIR1812488.pdf