Single Image Dehazing Using Improved Gray World Theory and Dark Channel Prior

The images captured outdoor are usually influenced by inclement weather conditions severely, bringing a great deal of inconvenience to the automatic data processing system. The widely used dehazing method based on dark channel prior (DCP) is not effective on the image with color distortion. In order to solve this problem, we improve the gray world theory (GWT) and propose a single image dehazing method using our improved gray world theory and the dark channel prior. Experiments show that our method can restore the hazy image with color distortion effectively and outperforms the state-of-art results.