Image dehazing based on haziness analysis

被引：16
作者：
Guo F. [1 ,2 ]
Tang J. [1 ]
Cai Z.-X. [1 ]
机构：
[1] School of Information Science and Engineering, Central South University, Changsha
[2] Hunan Engineering Laboratory for Advanced Control and Intelligent Automation, Changsha
来源：
Tang, J. (tjin@csu.edu.cn) | 1600年 / Chinese Academy of Sciences卷 / 11期
基金：
中国国家自然科学基金;
关键词：
haze image model; haze transmission; haziness analysis; Image dehazing; retinex theory; veil layer;
D O I：
10.1007/s11633-014-0768-7
中图分类号：
学科分类号：
摘要：
We present two haze removal algorithms for single image based on haziness analysis. One algorithm regards haze as the veil layer, and the other takes haze as the transmission. The former uses the illumination component image obtained by retinex algorithm and the depth information of the original image to remove the veil layer. The latter employs guided filter to obtain the refined haze transmission and separates it from the original image. The main advantages of the proposed methods are that no user interaction is needed and the computing speed is relatively fast. A comparative study and quantitative evaluation with some main existing algorithms demonstrate that similar even better quality results can be obtained by the proposed methods. On the top of haze removal, several applications of the haze transmission including image refocusing, haze simulation, relighting and 2-dimensional (2D) to 3-dimensional (3D) stereoscopic conversion are also implemented. © 2014 Institute of Automation, Chinese Academy of Sciences and Springer-Verlag Berlin Heidelberg.
引用
收藏
页码：78 / 86
页数：8
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