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...

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Bibliographic Details

Published in:	Electronics letters Vol. 57; no. 22; pp. 851 - 853
Main Authors:	Lee, Bokyeung, Ku, Bonhwa, Kim, Wanjin, Ko, Hanseok
Format:	Journal Article
Language:	English
Published:	Stevenage John Wiley & Sons, Inc 01.10.2021 Wiley
Subjects:	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 Access:	Get full text
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