Single image dehazing based on dark channel prior

Abstract

Bad weather, such as fog and haze, can dramatically degrade the visibility of a scene. To solve this problem, we exploit the method of dark channel prior to recover a single haze image, which is based on a key observation - most non-sky local patches in haze-free outdoor images contain some pixels with very low intensities in at least one color channel. In this article, the dark channel prior method is implemented to remove haze from a single outdoor image, and the setting up of parameters is discussed and evaluated. The experimental results show the visibility, contrast, and detail of the scene are significantly enhanced comparing with the original ones. In addition, the analysis results of the GMG (Gray Mean Grads), LS (Laplace operator), and BN (Blur Noise) image quality assessment methods present a dramatic rise of image quality.