Efficient adaptation of complex-valued noiselet sensing matrices for compressed single-pixel imaging
| Autor: | Pastuszczak, Anna, Szczygieł, Bartłomiej, Mikołajczyk, Michał, Kotyński, Rafał |
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| Rok vydání: | 2016 |
| Předmět: | |
| Zdroj: | Appl. Opt. 55(19), 5141-5148 (2016) |
| Druh dokumentu: | Working Paper |
| DOI: | 10.1364/AO.55.005141 |
| Popis: | Minimal mutual coherence of discrete noiselets and Haar wavelets makes this pair of bases an essential choice for the measurement and compression matrices in compressed-sensing-based single-pixel detectors. In this paper we propose an efficient way of using complex-valued and non-binary noiselet functions for object sampling in single-pixel cameras with binary spatial light modulators and incoherent illumination. The proposed method allows to determine m complex noiselet coefficients from m+1 binary sampling measurements. Further, we introduce a modification to the complex fast noiselet transform, which enables computationally-efficient real-time generation of the binary noiselet-based patterns using efficient integer calculations on bundled patterns. The proposed method is verified experimentally with a single-pixel camera system using a binary spatial light modulator. Comment: 9 pages, 3 figures, 1 table; accepted for publication in Applied Optics (2016) |
| Databáze: | arXiv |
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