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Block reconstruction of object image based on compressed sensing and orthogonal modulation
Author(s): Yuanyuan Zhou; Jianping Hu; Sheng Yuan; Luozhi Zhang; Dongming Huo; Jinxi Li; Xin Zhou
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Paper Abstract

In this paper, a block reconstruction method of object image based on compressed sensing(CS) and orthogonal modulation is presented. Using this method, the amount of data processing can be greatly reduced due to the application of CS theory and it brings convenience for post-processing. The method can be utilized especially when we just need to reconstruct partial of a huge image, because the orthogonal basis matrix can extract the measurements of corresponding block, and then the needed partial image can be reconstructed directly instead of reconstructing the whole huge image at first. Therefore, this method can reduce the redundant computation in process of reconstruction. And the total amount of calculation is also greatly reduced. The feasibility is verified by results of an experiment, in which we use a video projector to incorporate the random measurement matrix into the system.

Paper Details

Date Published: 14 June 2018
PDF: 9 pages
Proc. SPIE 10679, Optics, Photonics, and Digital Technologies for Imaging Applications V, 106791F (14 June 2018); doi: 10.1117/12.2306364
Show Author Affiliations
Yuanyuan Zhou, Sichuan Univ. (China)
Jianping Hu, Chengdu Fine Optical Engineering Research Ctr. (China)
Sheng Yuan, North China Univ. of Water Resources and Electric Power (China)
Luozhi Zhang, Sichuan Univ. (China)
Dongming Huo, Sichuan Univ. (China)
Jinxi Li, Sichuan Univ. (China)
Xin Zhou, Sichuan Univ. (China)


Published in SPIE Proceedings Vol. 10679:
Optics, Photonics, and Digital Technologies for Imaging Applications V
Peter Schelkens; Touradj Ebrahimi; Gabriel Cristóbal, Editor(s)

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