Sparse Gradient Regularized Deep Retinex Network for Robust Low-Light Image Enhancement
Due to the absence of a desirable objective for low-light image enhancement, previous data-driven methods may provide undesirable enhanced results including amplified noise, degraded contrast and biased colors. In this work, inspired by Retinex theory, we design an end-to-end signal prior-guided lay...
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 30(2021) vom: 18., Seite 2072-2086 | 
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| 1. Verfasser: | |
| Weitere Verfasser: | , , , | 
| Format: | Online-Aufsatz | 
| Sprache: | English | 
| Veröffentlicht: | 2021 | 
| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society | 
| Schlagworte: | Journal Article | 
| Online verfügbar | Volltext |