Multichannel blind iterative image restoration.

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F03%3A16030104" target="_blank" >RIV/67985556:_____/03:16030104 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Multichannel blind iterative image restoration.

Original language description

Very recently, an eigenvector-based method (EVAM) was proposed for a multichannel framework. We propose a novel iterative algorithm based on recent anisotropic denoising techniques of total variation and a Mumford-Shah functional with the EVAM restoration condition included. The algorithm performs well even on very noisy images and does not require an exact estimation of mask orders. We demonstrate capabilities of the algorithm on synthetic data, defocused images and on astronomical data.

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

BD - Information theory

OECD FORD branch

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Project

<a href="/en/project/GA102%2F00%2F1711" target="_blank" >GA102/00/1711: Image fusion methods for degraded and incomplete data</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2003

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

12

Issue of the periodical within the volume

9

Country of publishing house

US - UNITED STATES

Number of pages

13

Pages from-to

1094-1106

UT code for WoS article

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EID of the result in the Scopus database

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