量子电子学报2017，Vol.34Issue(6)：662-671,10.DOI:10.3969/j.issn.1007-5461.2017.06.004
基于递归双边滤波的快速图像去雾
Fast image dehazing based on recursive bilateral filtering
摘要
Abstract
A single image dehazing method based on recursive bilateral filtering is proposed.Combining with the boundary conditions of scene radiance,the dehazing model is applied to estimate the initial value of the atmospheric veil,and recursive bilateral filtering is applied to refine the initial value in order to obtain the high-quality clear image.Based on several neighboring frames information around current frame of the video-image,its globe atmosphere light is estimated.The atmospheric veil is filtered across each frame of the video-image with recursive bilateral filtering.The proposed method is extended to video-image dehazing,and the video-image dehazing result with temporal coherence is obtained.The affinity propagation algorithm is applied to obtain sampling points of haze images for accelerating the dehazing processing.Compared with the existing methods,the proposed method can get better dehazing results for the haze images with many edge features and complex scenes.关键词
图像处理/图像去雾/递归双边滤波/近邻传播Key words
image processing/image dehazing/recursive bilateral filtering/affinity propagation分类
信息技术与安全科学引用本文复制引用
廖斌,訚鹏..基于递归双边滤波的快速图像去雾[J].量子电子学报,2017,34(6):662-671,10.基金项目
Supported by National Natural Science Foundation of China(国家自然科学基金,61300125) （国家自然科学基金,61300125）
