Single Image Dehazing Based on Combining Dark Channel Prior and Scene Radiance Constraint  

作　　者：ZENG Liang DAI Yongzhen 

机构地区：[1]College of Computer,National University of Defense Technology

出　　处：《Chinese Journal of Electronics》2016年第6期1114-1120,共7页电子学报（英文版）

基　　金：supported by the National Natural Science Foundation of China(No.61272009)

摘　　要：Images captured in foggy or hazy weather conditions often suffer from poor visibility. The dark channel prior method has well solved the single image dehazing problem in nature, but it is invalid when the scene objects are inherently similar to the atmospheric light and no shadow is cast on them. We propose an efficient regularization method by adding a scene radiance constraint and combing the dark channel prior to remove hazes from a single input image. The experiments show that this improved algorithm can deal with various levels of foggy weather conditions, as well as greatly enhance the image's visibility and details. In addition, the recovered haze-free image has little or no halo artifacts.Images captured in foggy or hazy weather conditions often suffer from poor visibility. The dark channel prior method has well solved the single image dehazing problem in nature, but it is invalid when the scene objects are inherently similar to the atmospheric light and no shadow is cast on them. We propose an efficient regularization method by adding a scene radiance constraint and combing the dark channel prior to remove hazes from a single input image. The experiments show that this improved algorithm can deal with various levels of foggy weather conditions, as well as greatly enhance the image＇s visibility and details. In addition, the recovered haze-free image has little or no halo artifacts.

关 键 词：Image dehazing Scene radiance constraint Dark channel prior Visibility enhancement Detail augment 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]