SONAR image denoising using a bayesian approach in the wavelet domain

Sorin Moga (1, 2) , Alexandru Isar (3)

1 LUSSI - Département Logique des Usages, Sciences sociales et Sciences de l'Information
2 TAMCIC - Traitement Algorithmique et Matériel de la Communication, de l'Information et de la Connaissance
3 UPT - Universității Politehnica Timișoara [România] = Polytechnic University of Timişoara [Romania] = Université polytechnique de Timișoara [Roumanie]

The performance of image denoising algorithms using the Double Tree Complex Wavelet Transform, DT CWT, followed by a local adaptive bishrink filter can be improved by reducing the ensitivity of that filter with the local marginal variance of the wavelet coefficients. In this paper is proposed a solution for the sensitivity reduction based on enhanced diversity.

Domaines: Ordinateur et société [cs.CY]

Sorin Moga, Alexandru Isar. SONAR image denoising using a bayesian approach in the wavelet domain. ASMDA 2007 : Advances in Stochastic Modelling and Data Analysis, May 2007, Chania, Greece. pp.130. ⟨hal-02136657⟩