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Adaptive Single Photon Compressed Imaging Based on Constructing a Smart Threshold Matrix

1
School of Information Engineering, Nanchang University, Nanchang 330031, China
2
State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710119, China
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(10), 3449; https://doi.org/10.3390/s18103449
Received: 13 September 2018 / Revised: 10 October 2018 / Accepted: 12 October 2018 / Published: 14 October 2018
(This article belongs to the Special Issue Optoelectronic and Photonic Sensors)
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Abstract

We demonstrate a single-photon compressed imaging system based on single photon counting technology and compressed sensing theory. In order to cut down the measurement times and shorten the imaging time, a fast and efficient adaptive sampling method, suited for single-photon compressed imaging, is proposed. First, the pre-measured rough images are transformed into sparse bases as a priori information. Then a smart threshold matrix is designed by using large sparse coefficients of the rough image in sparse bases. The adaptive measurement matrix is obtained by modifying the original Gaussian random matrix with the specially designed threshold matrix. Building the adaptive measurement matrix requires only one level of sparse representation, which means that adaptive imaging can be achieved quickly with very little computation. The experimental results show that the reconstruction effect of the image measured using the adaptive measurement matrix is obviously superior than that of the Gaussian random matrix under different measurement times and different reconstruction algorithms. View Full-Text
Keywords: adaptive sensing; adaptive signal detection; compressed sensing; image sampling; measurement matrix; single-photon compressed imaging adaptive sensing; adaptive signal detection; compressed sensing; image sampling; measurement matrix; single-photon compressed imaging
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Shangguan, W.; Yan, Q.; Wang, H.; Yuan, C.; Li, B.; Wang, Y. Adaptive Single Photon Compressed Imaging Based on Constructing a Smart Threshold Matrix. Sensors 2018, 18, 3449.

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