Video Compressed Sensing Using a Convolutional Neural Network

• Published in: IEEE transactions on circuits and systems for video technology Vol. 31; no. 2; pp. 425 - 438
• Main Authors: Shi, Wuzhen, Liu, Shaohui, Jiang, Feng, Zhao, Debin
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.02.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 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

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...