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Wavelets and partial differential equations for image denoising
Bruni, Vittoria (Istituto per le Applicazioni del Calcolo "M. Picone" (Roma, Itàlia))
Piccoli, Benedetto (Istituto per le Applicazioni del Calcolo "M. Picone" (Roma, Itàlia))
Vitulano, Domenico (Istituto per le Applicazioni del Calcolo "M. Picone" (Roma, Itàlia))

Date: 2006
Abstract: In this paper a wavelet based model for image de-noising is presented. Wavelet coefficients are modelled as waves that grow while dilating along scales. The model establishes a precise link between corresponding modulus maxima in the wavelet domain and then allows to predict wavelet coefficients at each scale from the first one. This property combined with the theoretical results about the characterization of singularities in the wavelet domain enables to discard noise. Significant structures of the image are well recovered while some annoying artifacts along image edges are reduced. Some experimental results show that the proposed approach outperforms the most recent and effective wavelet based denoising schemes.
Rights: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. Creative Commons
Language: Anglès
Document: Article ; recerca ; Versió publicada
Subject: Restauració d'imatges ; Ones ; Anàlisi de l'espai ; Restauración de imágenes ; Ondas ; Análisis del espacio ; Image restoration ; Wavelets ; Scale space analysis
Published in: ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 6 n. 2 (2006) p. 36-53, ISSN 1577-5097

Adreça original: https://elcvia.cvc.uab.es/article/view/v6-n2-bruni-piccoli-vitulano
Adreça alternativa: https://raco.cat/index.php/ELCVIA/article/view/85553
DOI: 10.5565/rev/elcvia.147


18 p, 703.5 KB

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Articles > Research articles

 Record created 2008-04-08, last modified 2022-02-19



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