@inproceedings{306b39bea52943e6b2fd241591adb955,
title = "Compressive imaging sensors",
abstract = "This paper describes a compressive sensing strategy developed under the Compressive Optical MONTAGE Photography Initiative. Multiplex and multi-channel measurements are generally necessary for compressive sensing. In a compressive imaging system described here, static focal plane coding is used with multiple image apertures for non-degenerate multiplexing and multiple channel sampling. According to classical analysis, one might expect the number of pixels in a reconstructed image to equal the total number of pixels across the sampling channels, but we demonstrate that the system can achieve up to 50\% compression with conventional benchmarking images. In general, the compression rate depends on the compression potential of an image with respect to the coding and decoding schemes employed in the system.",
keywords = "Compressive sensing, Computational optical sensing and imaging, Focal plane coding, Multi-aperture imaging, Super-resolution image construction",
author = "Pitsianis, \{N. P.\} and Brady, \{D. J.\} and A. Portnoy and X. Sun and T. Suleski and Fiddy, \{M. A.\} and Feldman, \{M. R.\} and Tekolste, \{R. D.\}",
year = "2006",
doi = "10.1117/12.666451",
language = "English (US)",
isbn = "0819462888",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Intelligent Integrated Microsystems",
note = "Intelligent Integrated Microsystems ; Conference date: 19-04-2006 Through 21-04-2006",
}