Low-Light Image Enhancement Based on Retinex Theory and Attention Mechanism

With the popularity of mobile devices and surveillance cameras, image enhancement under low-light conditions has become an crucial research direction in computer vision. Although existing low-light enhancement techniques have made some progress, they still have limitations in processing complex scen

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.4108/eai.21-11-2024.2354585
Primary Topic
Image Enhancement Techniques
Type
article
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article

Low-Light Image Enhancement Based on Retinex Theory and Attention Mechanism

Linlin Jiao, Fang Zhang
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Image Enhancement Techniques
article

Low-Light Image Enhancement Based on Retinex Theory and Attention Mechanism

Linlin Jiao, Fang Zhang
article en

Abstract

With the popularity of mobile devices and surveillance cameras, image enhancement under low-light conditions has become an crucial research direction in computer vision. Although existing low-light enhancement techniques have made some progress, they still have limitations in processing complex scen

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Image Enhancement Techniques
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Low-Light Image Enhancement Based on Retinex Theory and Attention Mechanism — Linlin Jiao, Fang Zhang · (2025) | TGRS Research Map | TGRS