Video Compressed Sensing Using a Convolutional Neural Network

Recently, a few image compressed sensing (CS) methods based on deep learning have been developed, which achieve remarkable reconstruction quality with low computational complexity. However, these existing deep learning-based image CS methods focus on exploring intraframe correlation while ignoring i...

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Vydáno v:	IEEE transactions on circuits and systems for video technology Ročník 31; číslo 2; s. 425 - 438
Hlavní autoři:	Shi, Wuzhen, Liu, Shaohui, Jiang, Feng, Zhao, Debin
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.02.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Artificial neural networks Compensation Compressed sensing Computer architecture Convolution convolutional neural network Convolutional neural networks Correlation Deep learning Image reconstruction Machine learning Multilevel multilevel feature compensation Neural networks Reconstruction Sampling video compressed sensing Video compression video reconstruction Video sequences
ISSN:	1051-8215, 1558-2205
On-line přístup:	Získat plný text
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