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Received:May 27, 2013 Revised:September 12, 2013
Received:May 27, 2013 Revised:September 12, 2013
中文摘要: 非局部均值算法是近年来去噪效果优秀并且引起广泛研究的算法, 但是该算法对于弱纹理, 弱边缘不能很好地保持。在非局部均值算法的基础上, 利用高阶微分可以很好地反映图像的弱边界和振荡等特征的特点, 改进了非局部均值算法。改进的算法能够在去噪的同时保留更多的细节、纹理和弱边缘。
Abstract:Non-local Means algorithm is a very effective and widely studied algorithm, but it cannot maintain the texture and weak edges of image very well. By using the characteristics of high order differential which can reflect the weak boundary and oscillation characteristics of image well, we improve the Non-local Means algorithm. The improved algorithm cannot only remove noise, but also keep more details, textures and weak edge.
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基金项目:
| Author Name | Affiliation |
| PENG Yang | College of Mathematics and Statistics, Chongqing University, Chongqing 401331, China |
| Author Name | Affiliation |
| PENG Yang | College of Mathematics and Statistics, Chongqing University, Chongqing 401331, China |
引用文本：
彭扬.结合高阶微分的非局部均值图像去噪算法.计算机系统应用,2014,23(1):119-123
PENG Yang.Non-Local Means Algorithm Combined with High Order Differential.COMPUTER SYSTEMS APPLICATIONS,2014,23(1):119-123
彭扬.结合高阶微分的非局部均值图像去噪算法.计算机系统应用,2014,23(1):119-123
PENG Yang.Non-Local Means Algorithm Combined with High Order Differential.COMPUTER SYSTEMS APPLICATIONS,2014,23(1):119-123
