Single-pixel imaging pattern sets and their implications on scene reconstruction

Akhil Kallepalli; John Innes; Graham M. Gibson; Miles J. Padgett

doi:10.1117/12.2601228

6 October 2021 Single-pixel imaging pattern sets and their implications on scene reconstruction

Akhil Kallepalli, John Innes, Graham M. Gibson, Miles J. Padgett

Proceedings Volume 11881, Quantum Technology: Driving Commercialisation of an Enabling Science II; 118810X (2021) https://doi.org/10.1117/12.2601228
Event: SPIE Photonex, 2021, Glasgow, United Kingdom

Abstract

Alternatives to focal-plane detector arrays have emerged in recent years and are now being widely investigated. One of the most promising of these are single-pixel imaging techniques. Single-pixel techniques recreate a scene using the knowledge of projected patterns and the measured backscattered signals. This research investigates the implications of using idealised patterns, Fourier-transformed patterns and camera-captured patterns generated by plane wave decomposition methods. Hadamard patterns are projected into the far-field of the phased-array modulator source and used for robust reconstruction in a reflective arrangement. The choice of the optimal pattern sets from these sources are used for single-pixel imaging reconstruction and compressed sensing. The technique is robust to poor signal-to-noise conditions and is applicable in cases where a limited number of measurements are possible. Our technique and methodology can be further applied to any region of the electromagnetic spectrum where phased-array sources are available, such as in the radar regime.

Citation Download Citation

Akhil Kallepalli, John Innes, Graham M. Gibson, and Miles J. Padgett "Single-pixel imaging pattern sets and their implications on scene reconstruction", Proc. SPIE 11881, Quantum Technology: Driving Commercialisation of an Enabling Science II, 118810X (6 October 2021); https://doi.org/10.1117/12.2601228

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KEYWORDS

Spatial light modulators

Signal to noise ratio

Cameras

Compressed sensing

Sensors

Image restoration

Reconstruction algorithms

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