A Single-Stage Unsupervised Denoising Low-Illumination Enhancement Network Based on Swin-Transformer

Traditional low-light enhancement methods are often based on paired datasets for training. The training data is difficult to obtain and the resulting model has poor generalization. In unsupervised low-light enhancement networks, because paired data is not used for training, there is a lack of effect...

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Hlavní autoři:	Qian Zhang, Chengjie Zou, Mingwen Shao, Hong Liang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2023-01-01
Edice:	IEEE Access
Témata:	Low light enhancement unsupervised swin transformer denoise
On-line přístup:	https://ieeexplore.ieee.org/document/10188925/
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