Haze removal algorithm based on image sky region segmentation

被引：0
|
作者：
Sun J. [1 ,2 ]
Chen Z. [1 ]
Xie L. [1 ]
Du M. [1 ]
Song S. [3 ]
机构：
[1] School of Aerospace Science and Technology, Xidian University, Xi'an
[2] Science and Technology on Near-Surface Defection Laboratory, Wuxi
[3] Shandong Provincial Key Laboratory of Robot and Intelligent Technology, Shandong University of Science and Technology, Qingdao
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2023年 / 45卷 / 06期
关键词：
dark channel prior; image defogging; sky segmentation; transmittance mapping;
D O I：
10.12305/j.issn.1001-506X.2023.06.03
中图分类号：
学科分类号：
摘要：
In order to improve the haze removal effect of images, an image haze removal algorithm based on transmissivity synthesis of sky region segmentation is proposed in this paper. The rough segmentation threshold is determined based on the probability distribution function constructed by haze image with the combination of iterative threshold segmentation with dark and bright channels and the maximum connectivity. Guided filtering is used to enhance the difference of the pixel gray between sky and non-sky regions to achieve the accurate segmentation. Logarithmic adaptive transformation is adopted to estimate the transmissivity in sky region, and the improved dark channel prior algorithm is used to estimate the transmissivity in non-sky region. The image was defogged by synthesizing the transmissivity of the corresponding pixels. Experimental results show that compared with other defogging algorithms, the algorithm presented in this paper achieves improvements in all objective indexes, which accurately segments sky and non-sky regions, and achieves good overall visual effect of defogging images. © 2023 Chinese Institute of Electronics. All rights reserved.
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页码：1606 / 1615
页数：9
相关论文
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