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.
© 2010 Optical Society of America
Original Manuscript: October 1, 2009
Manuscript Accepted: November 7, 2009
Published: February 3, 2010
Mohan Shankar, Nikos P. Pitsianis, and David J. Brady, "Compressive video sensors using multichannel imagers," Appl. Opt. 49, B9-B17 (2010)