Residual Quotient Learning for Zero-Reference Low-Light Image Enhancement
Recently, neural networks have become the dominant approach to low-light image enhancement (LLIE), with at least one-third of them adopting a Retinex-related architecture. However, through in-depth analysis, we contend that this most widely accepted LLIE structure is suboptimal, particularly when ad...
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Détails bibliographiques
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - PP(2024) vom: 24. Dez.
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| Auteur principal: |
Xie, Chao
(Auteur) |
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| Autres auteurs: |
Fei, Linfeng,
Tao, Huanjie,
Hu, Yaocong,
Zhou, Wei,
Hoe, Jiun Tian,
Hu, Weipeng,
Tan, Yap-Peng |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2024
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| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Sujets: | Journal Article |
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