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Journal of Electronic Imaging

Phase-preserving speckle reduction based on soft thresholding in quaternion wavelet domain
Author(s): Yipeng Liu; Jing Jin; Qiang Wang; Yi Shen
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Paper Abstract

Speckle reduction is a difficult task for ultrasound image processing because of low resolution and contrast. As a novel tool of image analysis, quaternion wavelet (QW) has some superior properties compared to discrete wavelets, such as nearly shift-invariant wavelet coefficients and phase-based texture presentation. We aim to exploit the excellent performance of speckle reduction in quaternion wavelet domain based on the soft thresholding method. First, we exploit the characteristics of magnitude and phases in quaternion wavelet transform (QWT) to the denoising application, and find that the QWT phases of the images are little influenced by the noises. Then we model the QWT magnitude using the Rayleigh distribution, and derive the thresholding criterion. Furthermore, we conduct several experiments on synthetic speckle images and real ultrasound images. The performance of the proposed speckle reduction algorithm, using QWT with soft thresholding, demonstrates superiority to those using discrete wavelet transform and classical algorithms.

Paper Details

Date Published: 24 October 2012
PDF: 11 pages
J. Electron. Imaging. 21(4) 043009 doi: 10.1117/1.JEI.21.4.043009
Published in: Journal of Electronic Imaging Volume 21, Issue 4
Show Author Affiliations
Yipeng Liu, Harbin Institute of Technology (China)
Jing Jin, Harbin Institute of Technology (China)
Qiang Wang, Harbin Institute of Technology (China)
Yi Shen, Harbin Institute of Technology (China)


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