Compressive video sensors using multichannel imagers | Zendy

Mohan Shankar | Zendy; Nikos Pitsianis | Zendy; David J. Brady | Zendy

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Compressive video sensors using multichannel imagers

Author(s) -

Mohan Shankar,

Nikos Pitsianis,

David J. Brady

Publication year - 2010

Publication title -

applied optics

Language(s) - English

Resource type - Journals

ISSN - 0003-6935

DOI - 10.1364/ao.49.0000b9

Subject(s) - compressed sensing , computer science , sampling (signal processing) , bandwidth (computing) , data compression , video processing , computer vision , artificial intelligence , telecommunications , filter (signal processing)

We explore the possibilities of obtaining compression in video through modified sampling strategies using multichannel imaging systems. The redundancies in video streams are exploited through compressive sampling schemes to achieve low power and low complexity video sensors. The sampling strategies as well as the associated reconstruction algorithms are discussed. These compressive sampling schemes could be implemented in the focal plane readout hardware resulting in drastic reduction in data bandwidth and computational complexity.

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