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...

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Veröffentlicht in:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 30(2021) vom: 18., Seite 2072-2086
1. Verfasser: Yang, Wenhan (VerfasserIn)
Weitere Verfasser: Wang, Wenjing, Huang, Haofeng, Wang, Shiqi, Liu, Jiaying
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