Optimization algorithm for low‐light image enhancement based on Retinex theory-Reference-Cited by-同舟云学术

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Optimization algorithm for low‐light image enhancement based on Retinex theory

Published:2022-10-17 Issue:2 Volume:17 Page:505-517
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Yang Jie¹^ORCID,Wang Jun¹,Dong LinLu¹^ORCID,Chen ShuYuan¹,Wu Hao²,Zhong YaWen³

Affiliation:

1. School of Information Engineering Southwest University of Science and Technology Mianyang China

2. School of Automation and Information Engineering Sichuan University of Science & Engineering Zigong China

3. School of Engineering Southwest Petroleum University Nanchong China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12650

Reference49 articles.

1. A novel multi-scale fusion framework for detail-preserving low-light image enhancement

2. Autonomous Navigation for Unmanned Underwater Vehicles: Real-Time Experiments Using Computer Vision

3. Vehicle Tracking in Wide Area Motion Imagery via Stochastic Progressive Association Across Multiple Frames

4. Identity-aware CycleGAN for face photo-sketch synthesis and recognition

5. Multi images fusion Retinex for low light image enhancement

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An underwater image enhancement method based on multi-scale layer decomposition and fusion;Signal Processing;2025-02

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

3. Low‐light visibility enhancement for improving visual surveillance in intelligent waterborne transportation systems;IET Intelligent Transport Systems;2024-07-16

4. MTIE-Net: Multi-technology fusion of low-light image enhancement network;PLOS ONE;2024-02-02

5. Cyclic Generative Attention-Adversarial Network for Low-Light Image Enhancement;Sensors;2023-08-07

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