An original method to denoise ultrasonic images affected by speckle is presented. Speckle is modeled as a signal-dependent noise corrupting the image. Noise reduction is approached as a Wiener- like filtering performed in a shift-invariant wavelet 'domain by means of an adaptive rescaling of the coefficients of an undecimated octave decomposition. The scaling factor of each coefficient is calculated from local statistics of the degraded image, the parameters of the noise model, and the wavelet filters. Experimental results demonstrate that excellent background smoothing as well as preservation of edge sharpness and fine details can be obtained.

Speckle suppression in ultrasonic images based on undecimated wavelets / F. ARGENTI; TORRICELLI G.. - In: EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING. - ISSN 1110-8657. - STAMPA. - 2003:(2003), pp. 470-478. [10.1155/S1110865703211136]

Speckle suppression in ultrasonic images based on undecimated wavelets

ARGENTI, FABRIZIO;TORRICELLI, GIONATAN
2003

Abstract

An original method to denoise ultrasonic images affected by speckle is presented. Speckle is modeled as a signal-dependent noise corrupting the image. Noise reduction is approached as a Wiener- like filtering performed in a shift-invariant wavelet 'domain by means of an adaptive rescaling of the coefficients of an undecimated octave decomposition. The scaling factor of each coefficient is calculated from local statistics of the degraded image, the parameters of the noise model, and the wavelet filters. Experimental results demonstrate that excellent background smoothing as well as preservation of edge sharpness and fine details can be obtained.
2003
2003
470
478
F. ARGENTI; TORRICELLI G.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/221321
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