Titelaufnahme

Titel
An efficient two-phase L1-TV method for restoring blurred images with impulse noise
Verfasser/ VerfasserinChan, Raymond H. ; Dong, Yiqiu ; Hintermüller, Michael In der Gemeinsamen Normdatei der DNB nachschlagen
Erschienen in
IEEE Transactions on Image Processing, New York, NY, 2010, Jg. 19, H. 7, S. 1731-1739
ErschienenIEEE
Ausgabe
Accepted version
SpracheEnglisch
DokumenttypAufsatz in einer Zeitschrift
Schlagwörter (EN)L1 data fitting / Fenchel duality / image deblurring / impulse noise / noise detector / semismooth Newton method / total variation regularization
Schlagwörter (GND)Bildverarbeitung / Newton-Verfahren / Online-Publikation
ISSN1941-0042
URNurn:nbn:at:at-ubg:3-1124 Persistent Identifier (URN)
DOIdoi:10.1109/TIP.2010.2045148 
Zugriffsbeschränkung
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An efficient two-phase L1-TV method for restoring blurred images with impulse noise [1.26 mb]
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Zusammenfassung (Englisch)

A two-phase image restoration method based upon total variation regularization combined with an L1-data-fitting term for impulse noise removal and deblurring is proposed. In the first phase, suitable noise detectors are used for identifying image pixels contaminated by noise. Then, in the second phase, based upon the information on the location of noise-free pixels, images are deblurred and denoised simultaneously. For efficiency reasons, in the second phase a superlinearly convergent algorithm based upon Fenchel-duality and inexact semismooth Newton techniques is utilized for solving the associated variational problem. Numerical results prove the new method to be a significantly advance over several state-of-the-art techniques with respect to restoration capability and computational efficiency.

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