TY - JOUR
T1 - Single-pixel imaging via compressive sampling
T2 - Building simpler, smaller, and less-expensive digital cameras
AU - Duarte, Marco F.
AU - Davenport, Mark A.
AU - Takbar, Dharmpal
AU - Laska, Jason N.
AU - Sun, Ting
AU - Kelly, Kevin F.
AU - Baraniuk, Richard G.
N1 - Funding Information:
Richard G. Baraniuk (richb@rice.edu) is the Victor E. Cameron Professor of Electrical and Computer Engineering at Rice University. His research interests lie in new theory, algorithms, and hardware for signal processing and imaging. He is a Fellow of the IEEE and has received National Young Investigator Awards from the National Science Foundation and the Office of Naval Research, the Rosenbaum Fellowship from the Isaac Newton Institute of Cambridge University, and the ECE Young Alumni Achievement Award from the University of Illinois. He has received the George R. Brown Award for Superior Teaching at Rice three times, received the C. Holmes MacDonald National Outstanding Teaching Award from Eta Kappa Nu, and was selected as one of Edutopia Magazine’s Daring Dozen Education Innovators in 2007.
Funding Information:
Thanks to Dave Brady for suggesting the Poisson noise analysis, to Dennis Healy and Courtney Lane for many enlightening discussions, and to Michael Wakin for his many contributions. This work was supported by grants DARPA/ONR N66001-06-1-2011 and N00014-06-1-0610, NSF CCF-0431150, ONR N00014-07-1-0936, AFOSR FA9550-07-1-0301, ARO W911NF-07-1-0502, ARO MURI W311NF-07-1-0185, and the Texas Instruments Leadership University Program. Special thanks to TI for providing the DMD developer’s kit and accessory light modulator package.
PY - 2008/3
Y1 - 2008/3
N2 - A new approach to building simpler, smaller and cheaper digital cameras that can operate efficiently across a much broader spectral range than conventional silicon-based cameras has been investigated. The approach, single-pixel imaging via compressive sampling, fuses a new camera architecture based on a digital micromirror device. Being an optical computer that sequentially measures the inner products, the single-pixel camera computes random linear measurements of the scene under view. The CS camera can realize improvements in the performance and capabilities of data acquisition, processing, and fusion systems while being a cheaper solution.
AB - A new approach to building simpler, smaller and cheaper digital cameras that can operate efficiently across a much broader spectral range than conventional silicon-based cameras has been investigated. The approach, single-pixel imaging via compressive sampling, fuses a new camera architecture based on a digital micromirror device. Being an optical computer that sequentially measures the inner products, the single-pixel camera computes random linear measurements of the scene under view. The CS camera can realize improvements in the performance and capabilities of data acquisition, processing, and fusion systems while being a cheaper solution.
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U2 - 10.1109/MSP.2007.914730
DO - 10.1109/MSP.2007.914730
M3 - Article
AN - SCOPUS:85032752277
VL - 25
SP - 83
EP - 91
JO - IEEE Signal Processing Magazine
JF - IEEE Signal Processing Magazine
SN - 1053-5888
IS - 2
ER -