Extreme Underwater Image Compression Using Physical Priors-Reference-Cited by-同舟云学术

Extreme Underwater Image Compression Using Physical Priors

Published:2023-04 Issue:4 Volume:33 Page:1937-1951
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Li Mengyao¹^ORCID,Shen Liquan²^ORCID,Lin Yufei¹^ORCID,Wang Kun¹^ORCID,Chen Jinbo³

Affiliation:

1. School of Communication and Information Engineering, Shanghai University, Shanghai, China

2. Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai University, Shanghai, China

3. School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China

Funder

National Natural Science Foundation of China

Shanghai Science and Technology Program

Open Fund of Key Laboratory of Advanced Display and System Applications of Ministry of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/10091959/09934922.pdf?arnumber=9934922

Reference63 articles.

1. CompressNet: Generative Compression at Extremely Low Bitrates

2. Fast Underwater Image Enhancement for Improved Visual Perception

3. Fidelity-Controllable Extreme Image Compression with Generative Adversarial Networks

4. Semantic Image Synthesis With Spatially-Adaptive Normalization

5. Variational image compression with a scale hyperprior;ballé;Proc Int Conf Learn Represent,2018

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