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Chaotic Pattern Array for Single-Pixel Imaging

1
State Key Lab of Integrated Services Networks, Xidian University, Xi’an 710071, China
2
School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD 4072, Australia
3
School of Information Technology and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
4
School of Control Science and Engineering, Shandong University, Jinan 250100, China
5
School of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, China
*
Author to whom correspondence should be addressed.
Electronics 2019, 8(5), 536; https://doi.org/10.3390/electronics8050536
Received: 25 March 2019 / Revised: 7 May 2019 / Accepted: 8 May 2019 / Published: 13 May 2019
(This article belongs to the Section Circuit and Signal Processing)
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PDF [3997 KB, uploaded 13 May 2019]
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Abstract

Single-pixel imaging (SPI) is an emerging framework that can capture the image of a scene via a single-point detector at a considerably low cost. It measures the projection at the detector of the scene under view with certain patterns. One can reconstruct the image of the scene via post-processing the measurements modulated by the patterns. However, the most commonly-used random patterns are not always desirable in many applications, especially for real-time, resource-limited occasions, due to their high memory requirement and huge cost in software and hardware implementation. In this paper, a chaotic pattern array is proposed for the SPI architecture. Compared with random patterns, the proposed chaotic pattern array can not only promise to increase the capabilities of the SPI device, but can also reduce the memory cost and complexity of hardware implementation in the meantime. Moreover, convincing experiment results are given to illustrate that the proposed pattern array is suitable for single-pixel cameras, as well as other compressive imaging applications. View Full-Text
Keywords: single-pixel imaging; computational imaging; ghost imaging; compressive sampling; chaotic pattern single-pixel imaging; computational imaging; ghost imaging; compressive sampling; chaotic pattern
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Gan, H.; Xiao, S.; Zhang, T.; Zhang, Z.; Li, J.; Gao, Y. Chaotic Pattern Array for Single-Pixel Imaging. Electronics 2019, 8, 536.

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