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HDNet: A dual-stream network with progressive fusion for image hazing detection

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成果类型:
期刊论文
作者:
Chen, Jiyou;Yang, Gaobo;Xia, Ming;Guo, Zhiqing;Huang, Tianqiang
通讯作者:
Gaobo Yang
作者机构:
[Xia, Ming; Yang, Gaobo; Guo, Zhiqing; Chen, Jiyou] Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Peoples R China.
[Chen, Jiyou] Hengyang Normal Univ, Coll Phys & Elect Engn, Hengyang 421008, Peoples R China.
[Huang, Tianqiang] Hujian Normal Univ, Coll Math & Informat, Fuzhou 350117, Fujian, Peoples R China.
通讯机构:
[Gaobo Yang] H
Hunan University, College of Computer Science and Electronic Engineering, Changsha, 410082, China
语种:
英文
关键词:
Haze distribution;Image hazing detection;Progressive fusion;Saturation
期刊:
Journal of Information Security and Applications
ISSN:
2214-2126
年:
2022
卷:
69
页码:
103271
基金类别:
National Natural Science Foundation of China [61972143, 61972142]; Nat-ural Science Foundation of Hunan Province of China [2020JJ4029]; Scientific Research Fund of Hunan Provincial Educa-tion Department [21C0534]; Scientific Research Fund of Hunan Provincial Key Laboratory of Intelligent Information Processing and Application [2021HSKFJJ040]
机构署名:
本校为其他机构
院系归属:
物理与电子工程学院
摘要:
Image hazing refers to artificially adding haze to a clear image to produce a natural haze effect. However, it might also be used as an image forgery for malicious purposes such as misleading tourists or spreading fake weather information. Up to the present, there are still no works specially designed for fake hazy image detection. Inspired by the fact that almost all artificial hazy images are synthesized based on the atmospheric scattering model (ASM), we observe that though synthetic and real hazy images are very difficult to be differentiated by naked eyes, there still exist some ASM-relat...

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