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dc.contributor.author
Ma, Boxiao
dc.contributor.author
Trisovic, Jelena
dc.contributor.author
Loeliger, Hans-Andrea
dc.date.accessioned
2021-07-19T11:31:35Z
dc.date.available
2021-07-19T11:31:35Z
dc.date.issued
2020
dc.identifier.isbn
978-1-7281-6395-6
en_US
dc.identifier.isbn
978-1-7281-6394-9
en_US
dc.identifier.isbn
978-1-7281-6396-3
en_US
dc.identifier.other
10.1109/ICIP40778.2020.9190676
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/495903
dc.description.abstract
A new method for blind image deblurring is proposed that relies on a smoothed-NUV (normal with unknown variance) prior for images, which promotes piecewise smooth images with crisp edges. The proposed method can use multiple blurred versions of the same image.The variational representation of the prior allows the joint estimation of the image and the blurring kernel(s) to be decomposed into descent steps in reweighted least-squares problems and nonlinear scalar updates of the individual variances of the prior. Specifically, we propose an iteratively reweighted coordinate descent algorithm that has no parameters. Simulation results demonstrate that the proposed approach compares favorably to state-of-the-art methods. © 2020 IEEE.
en_US
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.subject
Blind image deblurring
en_US
dc.subject
smoothed NUV
en_US
dc.subject
sparsity
en_US
dc.subject
iteratively reweighted coordinate descent
en_US
dc.title
Multi-Image Blind Deblurring Using a Smoothed NUV Prior and Iteratively Reweighted Coordinate Descent
en_US
dc.type
Conference Paper
dc.date.published
2020-09-30
ethz.book.title
2020 IEEE International Conference on Image Processing (ICIP)
en_US
ethz.pages.start
973
en_US
ethz.pages.end
977
en_US
ethz.event
IEEE International Conference on Image Processing (ICIP 2020) (virtual)
en_US
ethz.event.location
Abu Dhabi, United Arab Emirates
en_US
ethz.event.date
October 25-28, 2020
en_US
ethz.notes
Due to the Coronavirus (COVID-19) the conference was conducted virtually.
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Piscataway, NJ
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02639 - Inst. f. Signal- und Informationsverarb. / Signal and Information Processing Lab.::03568 - Loeliger, Hans-Andrea / Loeliger, Hans-Andrea
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02639 - Inst. f. Signal- und Informationsverarb. / Signal and Information Processing Lab.::03568 - Loeliger, Hans-Andrea / Loeliger, Hans-Andrea
ethz.date.deposited
2021-01-09T14:57:39Z
ethz.source
WOS
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2021-07-19T11:31:44Z
ethz.rosetta.lastUpdated
2021-07-19T11:31:44Z
ethz.rosetta.versionExported
true
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/494835
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/460860
ethz.COinS
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