Compressive sampling using a pushframe camera

Bennett, Stuart and Noblet, Yoann and Griffin, Paul F and Murray, Paul and Marshall, Stephen and Jeffers, John and Oi, Daniel (2021) Compressive sampling using a pushframe camera. IEEE Transactions on Computational Imaging, 7. pp. 1069-1079. ISSN 2333-9403 (https://doi.org/10.1109/TCI.2021.3114980)

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Abstract

The recently described pushframe imager, a parallelized single pixel camera capturing with a pushbroom-like motion, is intrinsically suited to both remote-sensing and compressive sampling. It optically applies a 2D mask to the imaged scene, before performing light integration along a single spatial axis, but previous work has not made use of the architecture's potential for taking measurements sparsely. In this paper we develop a strongly performing static binarized noiselet compressive sampling mask design, tailored to pushframe hardware, allowing both a single exposure per motion time-step, and retention of 2D correlations in the scene. Results from simulated and real-world captures are presented, with performance shown to be similar to that of immobile — and hence inappropriate for satellite use — whole-scene imagers. A particular feature of our sampling approach is that the degree of compression can be varied without altering the pattern, and we demonstrate the utility of this for efficiently storing and transmitting multi-spectral images.

ORCID iDs

Bennett, Stuart, Noblet, Yoann, Griffin, Paul F ORCID logoORCID: https://orcid.org/0000-0002-0134-7554, Murray, Paul ORCID logoORCID: https://orcid.org/0000-0002-6980-9276, Marshall, Stephen ORCID logoORCID: https://orcid.org/0000-0001-7079-5628, Jeffers, John ORCID logoORCID: https://orcid.org/0000-0002-8573-1675 and Oi, Daniel ORCID logoORCID: https://orcid.org/0000-0003-0965-9509;
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