Unsupervised Spectral Demosaicing With Lightweight Spectral Attention Networks

This paper presents a deep learning-based spectral demosaicing technique trained in an unsupervised manner. Many existing deep learning-based techniques relying on supervised learning with synthetic images, often underperform on real-world images, especially as the number of spectral bands increases...

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Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2024) vom: 22., Seite 1655-1669
1. Verfasser:	Feng, Kai (VerfasserIn)
Weitere Verfasser:	Zeng, Haijin, Zhao, Yongqiang, Kong, Seong G, Bu, Yuanyang
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