About: Robust Multichannel Blind Deconvolution via Fast Alternating Minimization

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Blind deconvolution, which comprises simultaneous blur and image estimations, is a strongly ill-posed problem. It is by now well known that if multiple images of the same scene are acquired, this multichannel (MC) blind deconvolution problem is better posed and allows blur estimation directly fromthe degraded images.We improve theMC idea by adding robustness to noise and stability in the case of large blurs or if the blur size is vastly overestimated. We formulate blind deconvolution as an–regularized optimization problemand seek a solution by alternately optimizing with respect to the image and with respect to blurs. Each optimization step is converted to a constrained problem by variable splitting and then is addressed with an augmented Lagrangian method, which permits simple and fast implementation in the Fourier domain. The rapid convergence of the proposed method is illustrated on synthetically blurred data. Applicability is also demonstrated on the deconvolution of real photos taken by a digital camera. Blind deconvolution, which comprises simultaneous blur and image estimations, is a strongly ill-posed problem. It is by now well known that if multiple images of the same scene are acquired, this multichannel (MC) blind deconvolution problem is better posed and allows blur estimation directly fromthe degraded images.We improve theMC idea by adding robustness to noise and stability in the case of large blurs or if the blur size is vastly overestimated. We formulate blind deconvolution as an–regularized optimization problemand seek a solution by alternately optimizing with respect to the image and with respect to blurs. Each optimization step is converted to a constrained problem by variable splitting and then is addressed with an augmented Lagrangian method, which permits simple and fast implementation in the Fourier domain. The rapid convergence of the proposed method is illustrated on synthetically blurred data. Applicability is also demonstrated on the deconvolution of real photos taken by a digital camera. (en)
Title	Robust Multichannel Blind Deconvolution via Fast Alternating Minimization Robust Multichannel Blind Deconvolution via Fast Alternating Minimization (en)
skos:prefLabel	Robust Multichannel Blind Deconvolution via Fast Alternating Minimization Robust Multichannel Blind Deconvolution via Fast Alternating Minimization (en)
skos:notation	RIV/67985556:_____/12:00376080!RIV13-MV0-67985556
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(1M0572), P(GAP103/11/1552), P(VG20102013064), Z(AV0Z10750506)
http://linked.open...iv/cisloPeriodika	4
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Šroubek, Filip
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Ústav teorie informace a automatizace AV ČR, v. v. i.
http://linked.open...dnocenehoVysledku	165855
http://linked.open...ai/riv/idVysledku	RIV/67985556:_____/12:00376080
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	blind deconvolution; augmented Lagrangian; sparse representation (en)
http://linked.open.../riv/klicoveSlovo	blind deconvolution augmented Lagrangian sparse representation
http://linked.open...odStatuVydavatele	US - Spojené státy americké
http://linked.open...ontrolniKodProRIV	[62B53C26CA07]
http://linked.open...i/riv/nazevZdroje	IEEE Transactions on Image Processing
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Data, algorithms, decision making Moments and Moment Invariants in Image Analysis Tools for imaging device identification, authentication, and image reconstruction
http://linked.open...UplatneniVysledku	2012
http://linked.open...v/svazekPeriodika	21
http://linked.open...iv/tvurceVysledku	Šroubek, Filip Milanfar, P.
http://linked.open...ain/vavai/riv/wos	000302181800022
http://linked.open...n/vavai/riv/zamer	Pokročilé matematické metody získávání, zpracování a využití informací a znalostí ve složitých a nedeterministických systémech
issn	1057-7149
number of pages	14 (xsd:int)
http://bibframe.org/vocab/doi	10.1109/TIP.2011.2175740

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