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Proceedings Paper

Computational ghost imaging based on Walsh matrix replication
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Paper Abstract

The Walsh function system has orthogonal completeness and is widely used in signal processing, image processing and communication. In this paper, three kinds of Walsh matrices, Hadamard order, Walsh- Like order and Paley order, are derived by Kronecker product based on row and block replication techniques of Walsh matrix, and the structural characteristics of different matrices are compared and analyzed. The generated Walsh matrix is used as the measurement matrix to modulate the optical field of the computed ghost imaging system. The simple binary object and the complex gray object are used as the target object, and the secondorder correlation operation is used to reconstruct the target object. The numerical simulation results show that the three matrices can reconstruct the target object with high quality under full sampling conditions, but the reconstructed image quality of Paley-ordered Walsh matrix is much better than Hadamard order and Walsh- Like order under low sampling conditions, which can effectively reduce the data sampling rate and improve the signal-to-noise ratio of ghost imaging system.

Paper Details

Date Published: 18 December 2019
PDF: 6 pages
Proc. SPIE 11338, AOPC 2019: Optical Sensing and Imaging Technology, 113382G (18 December 2019); doi: 10.1117/12.2547593
Show Author Affiliations
Shan-Shan Jia, Changchun Univ. (China)
Jilin Engineering Normal Univ. (China)
Xi-Wei Zhao, Changchun Univ. (China)
Jilin Engineering Normal Univ. (China)
Cheng Zhou, Jilin Engineering Normal Univ. (China)
Li-Jun Song, Jilin Engineering Normal Univ. (China)

Published in SPIE Proceedings Vol. 11338:
AOPC 2019: Optical Sensing and Imaging Technology
John E. Greivenkamp; Jun Tanida; Yadong Jiang; HaiMei Gong; Jin Lu; Dong Liu, Editor(s)

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