Haze Removal of a Single Image by Using the Brightness Prior

In this paper a novel method for removing haze is given which is based on the Hue Saturation Value color model together with dark channel subtraction. Single image fog/haze removal is a challenging task due to its ill posed nature. As fog/haze increases the brightness of the images captured also increases. In the current wok, a new methodology has been used which involves the subtraction of extra image brightness from the hazy images for keeping the hue and saturation intact. It uses the information of image brightness to get the clear image by histogram equalization. Together, the three approaches of HSV color model, histogram equalization and Dark Channel Subtraction gives clear images. Experimental results are shown in comparison with the state of the art methods. The approach used in the current paper is at par with the current methodologies and the results are better than the existing approaches.