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An efficient single image dehazing algorithm based on transmission map estimation with image fusion

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成果类型:
期刊论文
作者:
Cheng, Shuangyu;Yang, Bin
通讯作者:
Shuangyu Cheng<&wdkj&>Bin Yang
作者机构:
[Cheng, Shuangyu; Yang, Bin] Univ South China, Coll Elect Engn, Hengyang 421001, Peoples R China.
[Cheng, Shuangyu; Yang, Bin] Univ South China, Coll Elect Engn, Hengyang, Peoples R China.
通讯机构:
[Shuangyu Cheng; Bin Yang] C
College of Electric Engineering, University of South China, Hengyang 421001, China
语种:
英文
关键词:
Single image dehaze;Gamma correction;Image fusion;Dark channel prior;Guided filter
期刊:
Engineering Science and Technology, an International Journal
ISSN:
2215-0986
年:
2022
卷:
35
页码:
101190
基金类别:
This work is supported by the National Natural Science Foundation of China (Nos.61871210), Chuanshan Talent Project of the University of South China and 2021 Hunan Postgraduate Research Innovation Project (Nos. CX20210935).
机构署名:
本校为第一机构
院系归属:
电气工程学院
摘要:
Single image dehazing is always the focus of attention in the field of image processing. The major improvements in most optical scattering model based dehazing algorithms focused on the transmission map estimation since that the improper of transmission map estimation may cause over-high contrast or color distortion in the restored images. In this paper, we proposed an efficient single image dehazing algorithm in which the image fusion strategy is employed to adaptively improve the accuracy of transmission map estimation. Specifically, the tran...

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