Experimental scheme and restoration algorithm of block compression sensing

Linxia Zhang; Qun Zhou; Jun Ke

doi:10.1117/12.2295568

12 January 2018 Experimental scheme and restoration algorithm of block compression sensing

Linxia Zhang, Qun Zhou, Jun Ke

Author Affiliations +

Proceedings Volume 10620, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology; 106201Q (2018) https://doi.org/10.1117/12.2295568
Event: International Conference on Optical Instruments and Technology 2017, 2017, Beijing, China

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.

Citation Download Citation

Linxia Zhang, Qun Zhou, and 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); https://doi.org/10.1117/12.2295568

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