Single image dehazing based on dark channel prior

摘要

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 channe channel prior to recover a single l haze image, which is based on a key observation - most non non-sky local patches in haze 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 evaluate evaluated. The experimental results show the visibility visibility, contrast, and detail , of the scene are significantly enhanced comparing with the original one ones. In addition, the analysis result results of the GMG (Gray Mean Grads Grads), LS ( ), Laplace operator operator), and BN (Blur Noise) ), im image quality assessment method age methods present a dramatic rise of image quality.