TY - GEN
T1 - Distributed feature-specific imaging
AU - Ke, Jun
AU - Shankar, Premchandra
AU - Neifeld, Mark A.
PY - 2007
Y1 - 2007
N2 - We describe a distributed network of low-power feature-specific (i.e., compressive) imagers. Several candidate projection types are compared. Linear minimum mean squared error estimation is used for reconstruction. Image quality and sensor lifetime are quantified.
AB - We describe a distributed network of low-power feature-specific (i.e., compressive) imagers. Several candidate projection types are compared. Linear minimum mean squared error estimation is used for reconstruction. Image quality and sensor lifetime are quantified.
UR - http://www.scopus.com/inward/record.url?scp=85087595647&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85087595647&partnerID=8YFLogxK
U2 - 10.1364/cosi.2007.ctua4
DO - 10.1364/cosi.2007.ctua4
M3 - Conference contribution
AN - SCOPUS:85087595647
SN - 1557528381
SN - 9781557528384
T3 - Optics InfoBase Conference Papers
BT - Computational Optical Sensing and Imaging, COSI 2007
PB - Optical Society of America (OSA)
T2 - Computational Optical Sensing and Imaging, COSI 2007
Y2 - 18 June 2007 through 18 June 2007
ER -