Enhancing Low‐Light Images: A Variation‐based Retinex with Modified Bilateral Total Variation and Tensor Sparse Coding

Low‐light conditions often result in the presence of significant noise and artifacts in captured images, which can be further exacerbated during the image enhancement process, leading to a decrease in visual quality. This paper aims to present an effective low‐light image enhancement model based on...

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Vydané v:	Computer graphics forum Ročník 42; číslo 7
Hlavní autori:	Yang, Weipeng, Gao, Hongxia, Zou, Wenbin, Huang, Shasha, Chen, Hongsheng, Ma, Jianliang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford Blackwell Publishing Ltd 01.10.2023
Predmet:	CCS Concepts Coding Computing methodologies → Image processing Datasets Illuminance Image enhancement Low‐level‐vision tasks Mathematical analysis Regularization Tensors
ISSN:	0167-7055, 1467-8659
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