PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN With Dual-Discriminators-Reference-Cited by-同舟云学术

PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN With Dual-Discriminators

Author:

Cong Runmin¹^ORCID,Yang Wenyu¹^ORCID,Zhang Wei²^ORCID,Li Chongyi³^ORCID,Guo Chun-Le³^ORCID,Huang Qingming⁴^ORCID,Kwong Sam⁵^ORCID

Affiliation:

1. Institute of Information Science, Beijing Jiaotong University, Beijing, China

2. School of Control Science and Engineering, Shandong University, Jinan, China

3. College of Computer Science, Nankai University, Tianjin, China

4. School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China

5. Department of Computer Science, City University of Hong Kong, Hong Kong, SAR, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Taishan Scholar Project of Shandong Province

Natural Science Foundation of Shandong Province for Distinguished Young Scholars

Hong Kong Innovation and Technology Commission

Hong Kong GRF-RGC General Research Fund

Young Elite Scientist Sponsorship Program by the China Association for Science and Technology

CAAI-Huawei MindSpore Open Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

Reference52 articles.

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