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.
Linear Filtering of 2-D wavelet coefficients for denoising ultrasound medical images / Andria, Gregorio; Attivissimo, Filippo; Cavone, Giuseppe; Giaquinto, Nicola; Lanzolla, Anna Maria Lucia. - In: MEASUREMENT. - ISSN 0263-2241. - 45:7(2012), pp. 1792-1800. [10.1016/j.measurement.2012.04.005]
Linear Filtering of 2-D wavelet coefficients for denoising ultrasound medical images
ANDRIA, Gregorio;ATTIVISSIMO, Filippo;CAVONE, Giuseppe;GIAQUINTO, Nicola;LANZOLLA, Anna Maria Lucia
2012-01-01
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.