Pixel-wise low-light image enhancement based on metropolis theorem-Reference-Cited by-同舟云学术

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Pixel-wise low-light image enhancement based on metropolis theorem

Published:2024-06 Issue: Volume:102 Page:104211
ISSN:1047-3203
Container-title:Journal of Visual Communication and Image Representation
language:en
Short-container-title:Journal of Visual Communication and Image Representation

Author:

Demir Y.^ORCID,Kaplan N.H.^ORCID,Kucuk S.^ORCID,Severoglu N.^ORCID

Publisher

Elsevier BV

Reference49 articles.

1. Low-light image and video enhancement using deep learning: A survey;Li;IEEE Trans. Pattern Anal. Mach. Intell.,2022

2. A comprehensive experiment-based review of low-light image enhancement methods and benchmarking low-light image quality assessment;Rasheed;Signal Process.,2023

3. EnlightenGAN: Deep light enhancement without paired supervision;Jiang;IEEE Trans. Image Process.,2021

4. Structure-revealing low-light image enhancement via robust retinex model;Li;IEEE Trans. Image Process.,2018

5. Contextual and variational contrast enhancement;Celik;IEEE Trans. Image Process.,2011

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