MRI Image Denosing With Fast Nonlocal Filtering

摘要：

This paper presents a fast nonlocal means filtering method for medical MRI denoising. The noisy MR image is decomposed into different frequent sub-bands. Different strategies is performed to deal with wavelet coefficients: for the high frequent sub-bands, coefficients are processed with threshold; for the low frequent one, nonlocal means filtering is applied to removal noise. Experimental results on medical MRI images show that the the performance of the new method.

关键词： MR image wavelet decomposition nonlocal means feature-preserving

作者: Linlin Zhang

作者单位: School of Economic Management Henan Polytechnic University Jiaozuo, China. 454000

会议类型: 国际会议

会议名称: 2011 International Conference on Bioinformatics and Computational Biology(ICBCB 2011)(2011年生物信息学与计算生物学国际会议)

会议地点: 海口

会议语种:英文

页码: 161-164

在线出版日期: 2011-02-22（万方平台首次上网日期，不代表论文的发表时间）