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...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - PP(2024) vom: 24. Dez.
|
|---|
| 1. Verfasser: |
Xie, Chao
(VerfasserIn) |
|---|
| Weitere Verfasser: |
Fei, Linfeng,
Tao, Huanjie,
Hu, Yaocong,
Zhou, Wei,
Hoe, Jiun Tian,
Hu, Weipeng,
Tan, Yap-Peng |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2024
|
|---|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|
|---|
| Schlagworte: | Journal Article |
|---|