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Article

Images from Bits: Non-Iterative Image Reconstruction for Quanta Image Sensors

1
School of Electrical and Computer Engineering, Purdue University, 465 Northwestern Ave, West Lafayette, IN 47907, USA
2
Department of Statistics, Purdue University, 250 N. University Street, West Lafayette, IN 47907, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Eric R. Fossum
Sensors 2016, 16(11), 1961; https://doi.org/10.3390/s16111961
Received: 8 September 2016 / Revised: 3 November 2016 / Accepted: 17 November 2016 / Published: 22 November 2016
(This article belongs to the Special Issue Photon-Counting Image Sensors)
A quanta image sensor (QIS) is a class of single-photon imaging devices that measure light intensity using oversampled binary observations. Because of the stochastic nature of the photon arrivals, data acquired by QIS is a massive stream of random binary bits. The goal of image reconstruction is to recover the underlying image from these bits. In this paper, we present a non-iterative image reconstruction algorithm for QIS. Unlike existing reconstruction methods that formulate the problem from an optimization perspective, the new algorithm directly recovers the images through a pair of nonlinear transformations and an off-the-shelf image denoising algorithm. By skipping the usual optimization procedure, we achieve orders of magnitude improvement in speed and even better image reconstruction quality. We validate the new algorithm on synthetic datasets, as well as real videos collected by one-bit single-photon avalanche diode (SPAD) cameras. View Full-Text
Keywords: single-photon image sensor; quanta image sensor (QIS); image reconstruction; quantized Poisson statistics; image denoising; Anscombe Transform; maximum likelihood estimation (MLE) single-photon image sensor; quanta image sensor (QIS); image reconstruction; quantized Poisson statistics; image denoising; Anscombe Transform; maximum likelihood estimation (MLE)
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MDPI and ACS Style

Chan, S.H.; Elgendy, O.A.; Wang, X. Images from Bits: Non-Iterative Image Reconstruction for Quanta Image Sensors. Sensors 2016, 16, 1961. https://doi.org/10.3390/s16111961

AMA Style

Chan SH, Elgendy OA, Wang X. Images from Bits: Non-Iterative Image Reconstruction for Quanta Image Sensors. Sensors. 2016; 16(11):1961. https://doi.org/10.3390/s16111961

Chicago/Turabian Style

Chan, Stanley H., Omar A. Elgendy, and Xiran Wang. 2016. "Images from Bits: Non-Iterative Image Reconstruction for Quanta Image Sensors" Sensors 16, no. 11: 1961. https://doi.org/10.3390/s16111961

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