The nonsubsampled contourlet transform (NSCT) is a powerful and versatile tool that allows a multiresolution and directional representation to be achieved. In this paper, we propose an extension of two despeckling algorithms, proposed to restore SAR images and based on the undecimated separable wavelet transform, to work into the NSCT domain. The signal is modeled as affected by a multiplicative noise. The noise-free NSCT coefficients are estimated from the observed ones according to either the maximum-a-posteriori (MAP) or the linear minimum mean square error (LMMSE) criterion. The results show that the proposed restoration algorithms highly benefit from the fact of working into a multiresolution and multidirectional domain.
Restoration of images corrupted by multiplicative noise in the nonsubsampled contourlet domain / F. Argenti;T. Bianchi;G. Martucci di Scarfizzi;L. Alparone. - STAMPA. - (2008), pp. 913-916. (Intervento presentato al convegno 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP tenutosi a Las Vegas, NV nel 30 March-4 April 2008) [10.1109/ICASSP.2008.4517759].
Restoration of images corrupted by multiplicative noise in the nonsubsampled contourlet domain
ARGENTI, FABRIZIO;ALPARONE, LUCIANO
2008
Abstract
The nonsubsampled contourlet transform (NSCT) is a powerful and versatile tool that allows a multiresolution and directional representation to be achieved. In this paper, we propose an extension of two despeckling algorithms, proposed to restore SAR images and based on the undecimated separable wavelet transform, to work into the NSCT domain. The signal is modeled as affected by a multiplicative noise. The noise-free NSCT coefficients are estimated from the observed ones according to either the maximum-a-posteriori (MAP) or the linear minimum mean square error (LMMSE) criterion. The results show that the proposed restoration algorithms highly benefit from the fact of working into a multiresolution and multidirectional domain.File | Dimensione | Formato | |
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