波谱学杂志2013，Vol.30Issue(2)：183-193,11.
用于MR图像非局域均值去噪的边缘增强策略
An Edge Enhancing Scheme for Non-Local Means Denoised MR Images
摘要
Abstract
Non-Local Means (NLM) is an excellent filter for noise removal and has been applied successfully to MR images.However,just like every other denoising filters,it inevitably blurs fine structures in images to certain extent.In this paper,we propose to combine high frequency components (HFC) extracted from the original image with the NLM-denoised image to recover the lost details.High frequency components,which contain rich edge information,are extracted with a multi-resolution method based on Laplacian Pyramid.Then the HFCs are combined with the image denoised by NLM using a continuous edge map produced by an edge detector which is based on SUSAN operator and modified to be more robust to noises.The experiment showed that the proposed scheme achieved good suppression of noise in smooth regions while preserves or even enhances image details.Furthermore,images were enhanced subdy without artifacts that are typical in enhanced images.关键词
磁共振成像/图像增强/多分辨增强/边缘算子/非局域均值/图像去噪Key words
Magnetic Resonance Imaging(MRI)/Image enhancing/Multi-resolution enhancing/Edge-Detector/Non-Local Means/Image denoising分类
数理科学引用本文复制引用
严序,周敏雄,徐凌,刘薇,杨光..用于MR图像非局域均值去噪的边缘增强策略[J].波谱学杂志,2013,30(2):183-193,11.基金项目
Supported by Science and Technology Commission of Shanghai Municipality (08DZ1900700). （08DZ1900700）
