Phase-preserving speckle reduction based on soft thresholding in quaternion wavelet domain
Phase-preserving speckle reduction based on soft thresholding in quaternion wavelet domain
复制标题
基于四元数小波域软阈值的保相散斑抑制
DOI：
10.1117/1.jei.21.4.043009
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发表时间：
2012-10
影响因子：
1.1
通讯作者：
Shen Yi
中科院分区：
文献类型：
--
作者：
Liu YiPeng;Jin Jing;Wang Qiang;Shen Yi
摘要。由于超声图像的低分辨率和低对比度，斑点去除一直是超声图像处理的难点。作为一种新型的图像分析工具，四元数小波具有小波系数近似位移不变和基于相位的纹理表示等优点。我们的目标是利用软阈值法在四元数小波域的优良降噪性能。首先，将四元数小波变换（QWT）的幅值和相位特性应用于去噪，发现图像的四元数小波变换的相位受噪声的影响较小。然后利用瑞利分布对QWT的幅度进行建模，并推导出阈值准则。此外，我们还对合成散斑图像和真实超声图像进行了实验。本文提出的带有软阈值的QWT散斑减少算法的性能优于使用离散小波变换和经典算法的散斑减少算法。
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.
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影响因子：
20.6
作者：
OPPENHEIM, AV;LIM, JS
通讯作者：
LIM, JS
影响因子：
4.4
作者：
Khare, Ashish;Khare, Manish;Jeon, Moongu
通讯作者：
Jeon, Moongu
影响因子：
1.1
作者：
Fodor, IK;Kamath, C
通讯作者：
Kamath, C
DOI：
--
发表时间：
2010-08
期刊：
2010 18th European Signal Processing Conference
影响因子：
--
作者：
Raphaël Soulard;P. Carré
通讯作者：
Raphaël Soulard;P. Carré
影响因子：
5.2
作者：
P. Kovesi
通讯作者：
P. Kovesi