MCATD: Multi-Scale Contextual Attention Transformer Diffusion for Unsupervised Low-Light Image Enhancement

MCATD: Multi-Scale Contextual Attention Transformer Diffusion for Unsupervised Low-Light Image Enhancement

Low-light image enhancement (LLIE) remains a challenging task due to the complex degradation patterns in images captured under insufficient illumination, including non-linear intensity mappings, spatially-varying noise distributions, and content-dependent color distortions. Despite significant advan...

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Bibliographic Details
Main Authors: Cheng da, Yongsheng Qian, Junwei Zeng, Xuting Wei, Futao Zhang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Deep learning
unsupervised methods
attention mechanisms
diffusion models
Online Access:https://ieeexplore.ieee.org/document/11014086/
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