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Proceedings Paper

Experimental scheme and restoration algorithm of block compression sensing
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Paper 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.

Paper Details

Date Published: 12 January 2018
PDF: 8 pages
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
Show Author Affiliations
Linxia Zhang, Beijing Institute of Technology (China)
Qun Zhou, Beijing Institute of Technology (China)
Jun Ke, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 10620:
2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology
Guohai Situ; Xun Cao; Wolfgang Osten; Liquan Dong, Editor(s)

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