A Low-Light Image Enhancement Algorithm Incorporating Cross-Mixed Attention and Receptive Field Expansion Mechanism-Reference-Cited by-同舟云学术

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A Low-Light Image Enhancement Algorithm Incorporating Cross-Mixed Attention and Receptive Field Expansion Mechanism

Published:2024 Issue: Volume:12 Page:45773-45784
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zhou Rongfeng¹^ORCID,Li Ping¹,Zhang Mingyang¹,Lin Qingyao¹^ORCID,Wang Yuanyuan¹,Bian Xuesheng¹,Zhou Feng¹^ORCID,Wang Rugang¹^ORCID

Affiliation:

1. School of Information Technology, Yancheng Institute of Technology, Yancheng, China

Funder

Jiangsu Graduate Practical Innovation Project

Natural Science Foundation of China

Major Project of Natural Science Research of Jiangsu Province Colleges and Universities

Natural Science Research Project of Jiangsu University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10478702.pdf?arnumber=10478702

Reference29 articles.

1. Night-time aerial image vehicle recognition technology based on transfer learning and image enhancement;Gonglin;J. Comput.-Aided Des. Comput. Graph.,2019

2. Low-light aerial image enhancement method based on retinex and multi-attention mechanism;Zong;Electron. Opt. Control,2023

3. Navigation image enhancement based on color weighted guided image filtering-Retinex algorithm;Fenglin;J. Shanghai Jiaotong Univ.,2019

4. Image enhancement of low-light parking space based on retinex;Miao;Automot. Eng.,2023

5. Holistic Prototype Activation for Few-Shot Segmentation

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