Speckle Suppression in Ultrasonic Images Based on Undecimated Wavelets

被引：0
|
作者：
Fabrizio Argenti
Gionatan Torricelli
机构：
[1] Università di Firenze,Dipartimento di Elettronica e Telecomunicazioni
来源：
EURASIP Journal on Advances in Signal Processing | / 2003卷
关键词：
ultrasound image denoising; speckle filtering; linear minimum mean square error filtering; undecimated discrete wavelet transform;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
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