Underwater Image Enhancement via Minimal Color Loss and Locally Adaptive Contrast Enhancement-Reference-Cited by-同舟云学术

Underwater Image Enhancement via Minimal Color Loss and Locally Adaptive Contrast Enhancement

Author:

Zhang Weidong¹^ORCID,Zhuang Peixian²^ORCID,Sun Hai-Han³^ORCID,Li Guohou¹,Kwong Sam⁴^ORCID,Li Chongyi⁵^ORCID

Affiliation:

1. School of Information Engineering, Henan Institute of Science and Technology, Xinxiang, China

2. Department of Automation, Tsinghua University, Beijing, China

3. School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore

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

5. School of Computer Science and Engineering, Nanyang Technological University, Singapore

Funder

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Postdoctoral Science Foundation of China

National Key Research and Development Program of China

MindSpore, Compute Architecture for Neural Networks (CANN), and Ascend Artificial Intelligence (AI) Processor

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

Reference67 articles.

5. Underwater single image color restoration using haze-lines and a new quantitative dataset;berman;IEEE Trans Pattern Anal Mach Intell,2021

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