Abstract
We present a modified version of the deconvolution algorithm introduced by Figueiredo and Nowak, which leads to a substantial acceleration. The algorithm essentially consists in alternating between a Landweber-type iteration and a wavelet-domain denoising step.
Details
Title
Fast wavelet regularized image deconvolution
Author(s)
Vonesch, Cedric ; Unser, Michael
Published in
2007 4Th Ieee International Symposium On Biomedical Imaging : Macro To Nano
Pages
608-611
Conference
4th IEEE International Symposium on Biomedical Imaging - Macro to Nano, Arlington, VA, Apr 12-15, 2007
Date
2007
Publisher
Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa
ISBN
978-1-4244-0671-5
Keywords
Other identifier(s)
View record in Web of Science
Laboratories
LIB
Record Appears in
Scientific production and competences > STI - School of Engineering > IEM - Institut d'Electricité et de Microtechnique > LIB - Biomedical Imaging Group
Scientific production and competences > Euler Center for Signal Processing
Peer-reviewed publications
Conference Papers
Work produced at EPFL
Published
Scientific production and competences > Euler Center for Signal Processing
Peer-reviewed publications
Conference Papers
Work produced at EPFL
Published
Record creation date
2012-07-04