TY - GEN
T1 - Statistical methods in compressive imaging
AU - Carin, Lawrence
N1 - Generated from Scopus record by KAUST IRTS on 2021-02-09
PY - 2014/1/1
Y1 - 2014/1/1
N2 - This talk will review recent developments in the use of statistical methods for inversion of data that are acquired compressively. A particular focus will be placed on dictionary learning and its connection to mixture models. It will be explained how these methods can be used to achieve very efficient inversion, with state-of-the-art accuracy. The basic framework will be demonstrated as applied to real compressively acquired data. In particular, we will consider compressive measurements with respect to time, spectrum and focus. © 2014 OSA.
AB - This talk will review recent developments in the use of statistical methods for inversion of data that are acquired compressively. A particular focus will be placed on dictionary learning and its connection to mixture models. It will be explained how these methods can be used to achieve very efficient inversion, with state-of-the-art accuracy. The basic framework will be demonstrated as applied to real compressively acquired data. In particular, we will consider compressive measurements with respect to time, spectrum and focus. © 2014 OSA.
UR - https://www.osapublishing.org/abstract.cfm?URI=SRS-2014-SM2F.1
UR - http://www.scopus.com/inward/record.url?scp=85087190793&partnerID=8YFLogxK
U2 - 10.1364/srs.2014.sm2f.1
DO - 10.1364/srs.2014.sm2f.1
M3 - Conference contribution
SN - 9781557523082
BT - Optics InfoBase Conference Papers
PB - Optical Society of America (OSA)[email protected]
ER -