FRC-Net: A Simple Yet Effective Architecture for Low-Light Image Enhancement-Reference-Cited by-同舟云学术

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FRC-Net: A Simple Yet Effective Architecture for Low-Light Image Enhancement

Published:2023 Issue: Volume: Page:1-1
ISSN:0098-3063
Container-title:IEEE Transactions on Consumer Electronics
language:
Short-container-title:IEEE Trans. Consumer Electron.

Author:

Zhang Zhao¹^ORCID,Zheng Huan¹,Hong Richang¹^ORCID,Fan Jicong²^ORCID,Yang Yi³^ORCID,Yan Shuicheng⁴

Affiliation:

1. School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China

2. school of Data Science, The Chinese University of Hong Kong, Shenzhen, China

3. School of Computer Science and Technology, Zhejiang University, Hangzhou, China

4. Sea AI Lab (SAIL), Singapore, Singapore

Funder

National Natural Science Foundation of China

Natural Science Foundation of Anhui Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/30/8306365/10137758.pdf?arnumber=10137758

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1. Unsupervised image enhancement under non-uniform illumination based on paired CNNs;Neural Networks;2024-02

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