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Proceedings Paper

An efficient parallel algorithm for single-pixel and FPA imaging
Author(s): Oğuzhan Fatih Kar; Alper Güngör; Serhat İlbey; H. Emre Güven
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Paper Abstract

Long image acquisition time is a critical problem in single-pixel-imaging. Here, we propose a new high-speed single-pixel compressive imaging method. We develop an ADMM based optimization algorithm to handle images with multiple features. The proposed method solves an optimization problem with the objectives of Total- Variation and ℓ1-norm with a data-fidelity constraint. The algorithm is highly parallel and is suitable for implementation using GPUs, with a significant reduction in computation. The resulting system produces high resolution images and can also be used for super-resolution by changing the single detector with a focal plane array. We verify the system experimentally and compare the performance of our algorithm with similar methods.

Paper Details

Date Published: 14 May 2018
PDF: 7 pages
Proc. SPIE 10669, Computational Imaging III, 106690J (14 May 2018); doi: 10.1117/12.2304342
Show Author Affiliations
Oğuzhan Fatih Kar, ASELSAN A.S. (Turkey)
Alper Güngör, ASELSAN A.S. (Turkey)
Serhat İlbey, ASELSAN A.S. (Turkey)
H. Emre Güven, ASELSAN A.S. (Turkey)

Published in SPIE Proceedings Vol. 10669:
Computational Imaging III
Abhijit Mahalanobis; Amit Ashok; Lei Tian; Jonathan C. Petruccelli, Editor(s)

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