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  • Research Article
  • Open Access

Speckle Suppression in Ultrasonic Images Based on Undecimated Wavelets

EURASIP Journal on Advances in Signal Processing20032003:379638

Received: 11 February 2002

Published: 14 April 2003


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.


ultrasound image denoisingspeckle filteringlinear minimum mean square error filteringundecimated discrete wavelet transform

Authors’ Affiliations

Dipartimento di Elettronica e Telecomunicazioni, Università di Firenze, Firenze, Italy


© Copyright © 2003 Hindawi Publishing Corporation 2003