Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloA closed-form nonparametric Bayesian estimator in the wavelet domain of images using an approximate alpha-stable prior - Comment
Anno di pubblicazione2007
Formato-
Autore/iAchim A.; Kuruoglu E. E.; Bezerianos A.; Tsakalides P.
Affiliazioni autoriCentre for Communications Research, Department of Electrical and Electronic Engineering, University of Bristol, Bristol, UK; CNR-ISTI, Pisa, Italy; Department of Medical Physics, University of Patras, Greece; Institute of Computer Science, Foundation for Research and Technology-Hellas (ICS-FORTH), Heraklion, Greece
Autori CNR e affiliazioni
  • ERCAN ENGIN KURUOGLU
Lingua/e
  • inglese
AbstractThe purpose of this commentary is to point out that the paper by Boubchir and Fadili (B-F) [Boubchir, L., Fadili, J.M., 2006. A closedform nonparametric Bayesian estimator in the wavelet domain of images using an approximate alpha-stable prior. Pattern Recognit. Lett. 27, 1370-1382] is little more than a paraphrase of earlier work in [Achim, A., Bezerianos, A., Tsakalides, P., 2001. Novel Bayesian multiscale method for speckle removal in medical ultrasound images. IEEE Trans. Med. Imag. 20 (August), 772-783; Kuruoglu, E.E., Molina, C., Fitzgerald, W.J., 1998. Approximation of a-stable probability densities using finite Gaussian mixtures. In: Proc. EUSIPCO'98 (September); Portilla, J., Strela, V., Wainwright, M.J., Simoncelli, E.P., 2003. Image denoising using scale mixtures of Gaussians in the wavelet domain. IEEE. Trans. Image. Proc. 12 (November), 1338-1351]. Essentially, B-F purport to propose an algorithm for image denoising based on scale mixtures of Gaussians in the wavelet domain, an approach well documented in [Portilla, J., Strela, V., Wainwright, M.J., Simoncelli, E.P., 2003. Image denoising using scale mixtures of Gaussians in the wavelet domain. IEEE. Trans. Image. Proc. 12 (November), 1338-1351]. In achieving this, B-F make use of a known method for approximating alpha-stable distributions previously proposed by Kuruoglu and co-workers [Kuruoglu, E.E., 1998. Signal processing in alpha-stable noise environments:Aleast lp-norm approach. Ph.D. thesis, University of Cambridge, Cambridge; Kuruoglu, E.E., Molina, C., Fitzgerald, W.J., 1998. Approximation of alpha-stable probability densities using finite Gaussian mixtures. In: Proc. USIPCO'98 (September)], but without referring to their work. Together, the above observations do not entitle B-F to claim to have developed a new algorithm. In addition, we show that B-F [2006; Fadili, J.M., Boubchir, L., 2005. Analytical form for a Bayesian wavelet estimator of images using the Bessel K form densities. IEEE Trans. Image Process. 14 (2), 231-240] include unfair comments and comparison vis-a`-vis of the method proposed in our early work [Achim, A., Bezerianos, A., Tsakalides, P., 2001. Novel Bayesian multiscale method for speckle removal in medical ultrasound images. IEEE Trans. Med. Imag. (August) 20, 772-783].
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da1845
Pagine a1847
Pagine totali-
RivistaPattern recognition letters
Attiva dal 1982
Editore: North-Holland - Amsterdam
Paese di pubblicazione: Paesi Bassi
Lingua: inglese
ISSN: 0167-8655
Titolo chiave: Pattern recognition letters
Titolo proprio: Pattern recognition letters.
Titolo abbreviato: Pattern recogn. lett.
Numero volume della rivista28
Fascicolo della rivista13
DOI-
Verificato da referee-
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)-
Parole chiaveAlpha-stable distribution, Wavelet transform, Bayesian estimation
Link (URL, URI)-
Titolo parallelo-
Data di accettazione-
Note/Altre informazioni-
Strutture CNR
  • ISTI — Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"
Moduli/Attività/Sottoprogetti CNR
  • ICT.P10.012.001 : Elaborazione di segnali e immagini per impieghi diagnostici e interpretazione di immagini multisorgente
Progetti Europei-
Allegati
A closed-form nonparametric Bayesian estimator in the wavelet domain of images using an approximate alpha-stable prior - Comment (documento privato )
Descrizione: Codice PuMa: cnr.isti/2007-A0-017
Tipo documento: application/pdf

Dati storici
I dati storici non sono modificabili, sono stati ereditati da altri sistemi (es. Gestione Istituti, PUMA, ...) e hanno solo valore storico.
Area disciplinareComputer Science & Engineering
Area valutazione CIVRScienze matematiche e informatiche
Rivista ISIPATTERN RECOGNITION LETTERS [06234J0]
NoteIn: Pattern Recognition Letters, vol. 28 (13) pp. 1845 - 1847. Elsevier, 2007.