Tree-Structured Dilated Convolutional Networks for Image Compressed Sensing
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DOI: 10.1109/access.2022.3206016
Abstract: To better recover a sparse image signal carrying redundant information from many fewer measurements than the Nyquist-Shannon sampling theorem suggested, convolutional neural networks (CNNs) can be used to emulate a compressed sensing (CS) process. However,… read more here.
Keywords: dilated convolutional; convolutional networks; compressed sensing; tree structured ... See more keywords