MAGAN: Unsupervised low-light image enhancement guided by mixed-attention-Reference-Cited by-同舟云学术

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MAGAN: Unsupervised low-light image enhancement guided by mixed-attention

Published:2022-06 Issue:2 Volume:5 Page:110-119
ISSN:2096-0654
Container-title:Big Data Mining and Analytics
language:
Short-container-title:Big Data Min. Anal.

Author:

Wang Renjun,Jiang Bin,Yang Chao,Li Qiao,Zhang Bolin

Publisher

Tsinghua University Press

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/8254253/9691293/09691298.pdf?arnumber=9691298

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1. An Improved Retinex-Based Approach Based on Attention Mechanisms for Low-Light Image Enhancement;Electronics;2024-09-13

2. Multi-scale adaptive low-light image enhancement based on deep learning;Journal of Electronic Imaging;2024-08-02

3. Illumination-guided semi-supervised network for low-light image enhancement jointly with denoising;Signal, Image and Video Processing;2024-07-26

4. KDGAN: Knowledge distillation‐based model copyright protection for secure and communication‐efficient model publishing;IET Communications;2024-06-17

5. Enhancement of Mine Images through Reflectance Estimation of V Channel Using Retinex Theory;Processes;2024-05-23

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