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. the existing CS methods based on CNNs have the problems of high computational complexity and unsatisfactory reconstruction effect. https://www.lolasalinas.com/