Ultrasound image de-noising based on nonlinear diffusion of complex wavelet transform.
- Author:
Wen HOU
1
;
Yiquan WU
Author Information
1. College of Information Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China. hw915@163.com
- Publication Type:Journal Article
- MeSH:
Algorithms;
Artifacts;
Humans;
Image Interpretation, Computer-Assisted;
methods;
Ultrasonography;
methods;
Wavelet Analysis
- From:
Journal of Biomedical Engineering
2012;29(2):332-336
- CountryChina
- Language:Chinese
-
Abstract:
Ultrasound images are easily corrupted by speckle noise, which limits its further application in medical diagnoses. An image de-noising method combining dual-tree complex wavelet transform (DT-CWT) with nonlinear diffusion is proposed in this paper. Firstly, an image is decomposed by DT-CWT. Then adaptive-contrast-factor diffusion and total variation diffusion are applied to high-frequency component and low-frequency component, respectively. Finally the image is synthesized. The experimental results are given. The comparisons of the image de-noising results are made with those of the image de-noising methods based on the combination of wavelet shrinkage with total variation diffusion, the combination of wavelet/multiwavelet with nonlinear diffusion. It is shown that the proposed image de-noising method based on DT-CWT and nonlinear diffusion can obtain superior results. It can both remove speckle noise and preserve the original edges and textural features more efficiently.
