Sun, M.-J., Meng, L.-T., Edgar, M. P., Padgett, M. J. and Radwell, N. (2017) A Russian Dolls ordering of the Hadamard basis for compressive single-pixel imaging. Scientific Reports, 7, 3464. (doi: 10.1038/s41598-017-03725-6) (PMID:28615622) (PMCID:PMC5471277)
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Abstract
Single-pixel imaging is an alternate imaging technique particularly well-suited to imaging modalities such as hyper-spectral imaging, depth mapping, 3D profiling. However, the single-pixel technique requires sequential measurements resulting in a trade-off between spatial resolution and acquisition time, limiting real-time video applications to relatively low resolutions. Compressed sensing techniques can be used to improve this trade-off. However, in this low resolution regime, conventional compressed sensing techniques have limited impact due to lack of sparsity in the datasets. Here we present an alternative compressed sensing method in which we optimize the measurement order of the Hadamard basis, such that at discretized increments we obtain complete sampling for different spatial resolutions. In addition, this method uses deterministic acquisition, rather than the randomized sampling used in conventional compressed sensing. This so-called ‘Russian Dolls’ ordering also benefits from minimal computational overhead for image reconstruction. We find that this compressive approach performs as well as other compressive sensing techniques with greatly simplified post processing, resulting in significantly faster image reconstruction. Therefore, the proposed method may be useful for single-pixel imaging in the low resolution, high-frame rate regime, or video-rate acquisition.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Radwell, Dr Neal and Padgett, Professor Miles and Edgar, Dr Matthew |
| Authors: | Sun, M.-J., Meng, L.-T., Edgar, M. P., Padgett, M. J., and Radwell, N. |
| College/School: | College of Science and Engineering > School of Physics and Astronomy |
| Journal Name: | Scientific Reports |
| Publisher: | Nature Research |
| ISSN: | 2045-2322 |
| ISSN (Online): | 2045-2322 |
| Copyright Holders: | Copyright © 2017 The Authors |
| First Published: | First published in Scientific Reports 7(1):3464 |
| Publisher Policy: | Reproduced under a Creative Commons License |
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