Robust Multichannel Blind Deconvolution via Fast Alternating Minimization

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F12%3A00376080" target="_blank" >RIV/67985556:_____/12:00376080 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1109/TIP.2011.2175740" target="_blank" >http://dx.doi.org/10.1109/TIP.2011.2175740</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TIP.2011.2175740" target="_blank" >10.1109/TIP.2011.2175740</a>

Result language

angličtina

Original language name

Robust Multichannel Blind Deconvolution via Fast Alternating Minimization

Original language 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 ta

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2012

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

IEEE Transactions on Image Processing

ISSN

1057-7149

e-ISSN

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Volume of the periodical

21

Issue of the periodical within the volume

4

Country of publishing house

US - UNITED STATES

Number of pages

14

Pages from-to

1687-1700

UT code for WoS article

000302181800022

EID of the result in the Scopus database

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