A Deep Network Based on Wavelet Transform for Image Compressed Sensing

Most conventional compressed sensing (CS) algorithms are impaired by the fact that the optimization of image reconstruction suffers from the need for multiple iterative calculations. Recently, deep learning-based CS algorithms have been proposed and they dramatically achieve efficient reconstruction...

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Veröffentlicht in:	Circuits, systems, and signal processing systems, and signal processing, 2022-11, Vol.41 (11), p.6031-6050
Hauptverfasser:	Yin, Zhu, Wu, Zhongcheng, Zhang, Jun
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Circuits and Systems Deep learning Electrical Engineering Electronics and Microelectronics Engineering Image reconstruction Instrumentation Iterative methods Machine learning Optimization Sampling Signal,Image and Speech Processing Wavelet transforms
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