Publications [#280458] of David J. Brady
- Pitsianis, NP; Brady, DJ; Portnoy, A; Sun, X; Suleski, T; Fiddy, MA; Feldman, MR; Tekolste, RD, Compressive imaging sensors,
Smart Structures and Materials 2005: Active Materials: Behavior and Mechanics, vol. 6232
pp. 62320 -, SPIE, Kissimmee, FL, United States, ISSN 0277-786X [12.666451], [doi]
(last updated on 2019/11/14)
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.