14 May 2018 An efficient parallel algorithm for single-pixel and FPA imaging
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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.
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Oğuzhan Fatih Kar, Oğuzhan Fatih Kar, Alper Güngör, Alper Güngör, Serhat İlbey, Serhat İlbey, H. Emre Güven, H. Emre Güven, } "An efficient parallel algorithm for single-pixel and FPA imaging", Proc. SPIE 10669, Computational Imaging III, 106690J (14 May 2018); doi: 10.1117/12.2304342; https://doi.org/10.1117/12.2304342
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