UIF: An Objective Quality Assessment for Underwater Image Enhancement-Reference-Cited by-同舟云学术

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UIF: An Objective Quality Assessment for Underwater Image Enhancement

Published:2022 Issue: Volume:31 Page:5456-5468
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Zheng Yannan¹,Chen Weiling¹^ORCID,Lin Rongfu¹,Zhao Tiesong¹^ORCID,Le Callet Patrick²^ORCID

Affiliation:

1. Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information, Fuzhou University, Fuzhou, China

2. Équipe Image, Perception et Interaction, Laboratoire des Sciences du Numérique de Nantes, Université de Nantes, Nantes, France

Funder

National Science Foundation of China

Natural Science Foundation of Fujian Province, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9626658/09855418.pdf?arnumber=9855418

Reference57 articles.

1. No-Reference Stereoscopic Image Quality Assessment Using Natural Scene Statistics

2. Color and Texture Image Retrieval Using Chromaticity Histograms and Wavelet Frames

3. Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data

4. A Patch-Structure Representation Method for Quality Assessment of Contrast Changed Images

5. Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment

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2. Underwater visual surveillance: A comprehensive survey;Ocean Engineering;2024-10

3. An effectual underwater image enhancement framework using adaptive trans-resunet ++ with attention mechanism;Journal of Experimental & Theoretical Artificial Intelligence;2024-08-17

4. Joint Luminance-Saliency Prior and Attention for Underwater Image Quality Assessment;Remote Sensing;2024-08-17

5. FISTA acceleration inspired network design for underwater image enhancement;Journal of Visual Communication and Image Representation;2024-08

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