Image Dehazing Based on Sky-Constrained Dark Channel Prior

被引：0

作者：

Xiao J.-S. ^{[1
]}

Gao W. ^{[1
]}

Zou B.-Y. ^{[1
]}

Yao Y. ^{[2
]}

Zhang Y.-Q. ^{[3
]}

机构：

[1] School of Electronic Information, Wuhan University, Wuhan, 430072, Hubei

[2] College of Physical Science and Technology, Central China Normal University, Wuhan, 430079, Hubei

[3] School of Information Science and Technology, Northwest University, Xi'an, 710127, Shaanxi

来源：

Xiao, Jin-Sheng (xiaojs@whu.edu.cn) | 2017年 / Chinese Institute of Electronics卷 / 45期

关键词：

Dark channel prior; Guided filter; Image dehazing; Sky segment;

D O I：

10.3969/j.issn.0372-2112.2017.02.012

中图分类号：

学科分类号：

摘要：

An improved image dehazing algorithm based on dark channel prior is proposed to overcome the color distortion of sky and halo effects. The guided filter is utilized to segment the sky area finely to avoid the sky color distortion, since the defect of the classical dark channel prior theory. The global atmospheric light of image in sky region is estimated accurately. In addition, the detailed edge information can be got by taking advantage of median filter technique. So more effective transmission map estimation will be achieved which effectively inhibited the halo. Last, because the brightness of image after haze removal is lower than the actual scene, histogram equalization is used for channel V of the HSV color space. The experiment results show that. the proposed method can not only restore the clean scene from hazy images effectively, but also avoid color distortion of the sky region and halo artifacts. © 2017, Chinese Institute of Electronics. All right reserved.

引用

页码：346 / 352

页数：6

共 14 条

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