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Proceedings Paper

Programmable compressed sensing using simple deterministic sensing matrices
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Paper Abstract

This paper presents a methodology for programmable on-sensor compressed sensing (CS) of images using pixel binning techniques. This work uses simple sparse deterministic matrices for the ease of implementation. The use of binning technique allows pixels to shift between CS and non-CS modes by the use of control signals. It also allows flexibility to perform CS on selected regions of image. Operation on CS mode has potential to cut raw data rate and power consumption by more than half, double the frame rate and increase low light sensitivity while achieving reconstruction PSNR close to 34 dB. This work also shows that CS has a very good potential for reconstruction of binned images.

Paper Details

Date Published: 6 November 2018
PDF: 12 pages
Proc. SPIE 10817, Optoelectronic Imaging and Multimedia Technology V, 108170C (6 November 2018); doi: 10.1117/12.2500581
Show Author Affiliations
Pravir Singh Gupta, Texas A&M Univ. (United States)
Gwan Seong Choi, Texas A&M Univ. (United States)


Published in SPIE Proceedings Vol. 10817:
Optoelectronic Imaging and Multimedia Technology V
Qionghai Dai; Tsutomu Shimura, Editor(s)

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