Paper
30 September 2013 Optical compressive sensing: a new field benefiting from classical optical signal processing techniques
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Abstract
Compressive sensing is a relatively new theory that has introduced a dramatic breakthrough in signal acquisition. In the context of imaging, it asserts that for common types of objects and with proper system design, it is possible to capture N2-pixel images with much fewer than N2 measurements. This implies that it is possible to capture signals with a larger space-bandwidth product than that of the system. Implementation of compressive imaging (CI) systems requires optical design that differs drastically from that for conventional imaging. Fortunately, CI design may benefit from concepts previously developed by Prof. Caulfield and others for optical signal processing.
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Adrian Stern "Optical compressive sensing: a new field benefiting from classical optical signal processing techniques", Proc. SPIE 8833, Tribute to H. John Caulfield, 88330B (30 September 2013); https://doi.org/10.1117/12.2024422
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Cited by 2 scholarly publications.
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KEYWORDS
Matrices

Compressed sensing

Imaging systems

Optical signal processing

Convolution

Compressive imaging

Computer programming

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