Linear filtering of 2-D wavelet coefficients for denoising ultrasound medical images

被引：73

作者：

Andria, G. ^{[1
]}

Attivissimo, F. ^{[1
]}

Cavone, G. ^{[1
]}

Giaquinto, N. ^{[1
]}

Lanzolla, A. M. L. ^{[1
]}

机构：

[1] Polytech Bari, Dept Elect & Elect, I-70125 Bari, Italy

来源：

MEASUREMENT | 2012年 / 45卷 / 07期

关键词：

Denoising; Ultrasound medical imaging; Speckle noise; Wavelet transform; 2-D linear filtering; SPECKLE REDUCTION; MAMMOGRAPHIC IMAGES; ENHANCEMENT; STATISTICS; MODEL;

D O I：

10.1016/j.measurement.2012.04.005

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The paper presents a novel denoising method for ultrasound medical images, whose quality is degraded by the peculiar phenomenon of speckle noise. The method is constructed step-by-step on the basis of recent research on the topic, and consists in Gaussian filtering of proper wavelet coefficients of the image, corresponding to vertical and diagonal details. A comparison with other filtering techniques for ultrasound imaging, i.e. Wiener and median filter, is presented. The obtained results, combined with those reported in independent research, demonstrate that the proposed denoising scheme has very good performance and is very promising for actual medical application. (C) 2012 Elsevier Ltd. All rights reserved.

引用

页码：1792 / 1800

页数：9

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