12 January 2018 Experimental scheme and restoration algorithm of block compression sensing
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Abstract
Compressed Sensing (CS) can use the sparseness of a target to obtain its image with much less data than that defined by the Nyquist sampling theorem. In this paper, we study the hardware implementation of a block compression sensing system and its reconstruction algorithms. Different block sizes are used. Two algorithms, the orthogonal matching algorithm (OMP) and the full variation minimum algorithm (TV) are used to obtain good reconstructions. The influence of block size on reconstruction is also discussed.
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Linxia Zhang, Linxia Zhang, Qun Zhou, Qun Zhou, Jun Ke, Jun Ke, "Experimental scheme and restoration algorithm of block compression sensing", Proc. SPIE 10620, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology, 106201Q (12 January 2018); doi: 10.1117/12.2295568; https://doi.org/10.1117/12.2295568
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