TY - GEN
T1 - Multiscale, dictionary-based speckle denoising
AU - Krishnamurthy, Kalyani
AU - Mrozack, Alex
AU - Maggioni, Mauro
AU - Brady, David
PY - 2013
Y1 - 2013
N2 - We propose a multiscale, dictionary-based, data-adaptive estimation method to recover intensities from multiplicative, speckle data. The proposed method preserves the edges and textures in the underlying image while smoothing intensities in homogenous regions.
AB - We propose a multiscale, dictionary-based, data-adaptive estimation method to recover intensities from multiplicative, speckle data. The proposed method preserves the edges and textures in the underlying image while smoothing intensities in homogenous regions.
UR - http://www.scopus.com/inward/record.url?scp=85085774789&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85085774789&partnerID=8YFLogxK
U2 - 10.1364/cosi.2013.cm2c.2
DO - 10.1364/cosi.2013.cm2c.2
M3 - Conference contribution
AN - SCOPUS:85085774789
SN - 9781557529756
T3 - Optics InfoBase Conference Papers
BT - Computational Optical Sensing and Imaging, COSI 2013
PB - Optical Society of America (OSA)
T2 - Computational Optical Sensing and Imaging, COSI 2013
Y2 - 23 June 2013 through 27 June 2013
ER -