Hierarchical distillation for image compressive sensing reconstruction

Compressive sensing (CS) is an effective algorithm for reconstructing images from a small sample of data. CS models combining traditional optimisation‐based CS methods and deep learning have been used to improve image reconstruction performance. However, if the sample ratio is very low, the performa...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Electronics letters Jg. 57; H. 22; S. 851 - 853
Hauptverfasser:	Lee, Bokyeung, Ku, Bonhwa, Kim, Wanjin, Ko, Hanseok
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Stevenage John Wiley & Sons, Inc 01.10.2021 Wiley
Schlagworte:	Algorithms Back propagation Computer vision and image processing techniques Datasets Deep learning Image and video coding Image reconstruction Knowledge Machine learning Methods Optical, image and video signal processing Propagation Ratios Sparsity
ISSN:	0013-5194, 1350-911X
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!