中国激光, 2009, 36 (10): 2548, 网络出版: 2009-10-23
基于OSV模型的迭代规则化医学图像去噪方法
Iterative Regularization Denoising Method Based on OSV Model for Medical Image Denoising
图像处理 医学图像去噪 OSV模型 迭代规则化 纹理和细节 imagine processing medical image denoising OSV model iterative regularization texture and detail
摘要
提出一种基于Osher-Sole-Vese(OSV)模型的迭代规则化医学图像去噪方法。该方法使用迭代规则化方式,通过加入分解出的纹理和细节震动信号以修正原始OSV模型的全变分去噪结果,在一定程度上克服了医学图像去噪过程中对细节和纹理信息的过渡平滑。同时给出了迭代规则化医学图像去噪方法的实现步骤。实验结果表明,新方法能较好地保护医学图像的细节和纹理信息。
Abstract
This paper proposes an iterative regularization denoising method based on Osher-Sole-Vese (OSV) model for medical image denoising. By using iterative regularization,the oscillating patterns of texture and details are added back to fit and compute the original OSV model,and the iterative behavior avoids overfull smoothing while denoising the features of textures and details to a certain extent. In addition,the iterative procedure is proposed in this paper. Experimental results show that the proposed method can achieve a better result in preserveing the texture and details for medical image denoising.
陈冠楠, 陈荣, 林居强, 黄祖芳, 冯尚源, 李永增, 杨坤涛. 基于OSV模型的迭代规则化医学图像去噪方法[J]. 中国激光, 2009, 36(10): 2548. Chen Guannan, Chen Rong, Lin Juqiang, Huang Zufang, Feng Shangyuan, Li Yongzeng, Yang Kuntao. Iterative Regularization Denoising Method Based on OSV Model for Medical Image Denoising[J]. Chinese Journal of Lasers, 2009, 36(10): 2548.