摘要
图像去噪一直都是计算机图形处理和计算机视觉中的一个研究热点，其中非局部化均值算法是近年来去噪效果出色的算法之一，但是非局部均值算法容易导致细节模糊，该文基于指数加权函数的基础上引进了余弦函数，提出了一种改进的非局部均值图像去噪方法，通过实验表明，该文的改进算法比传统的算法更能保持细节。
Image denoising has always been a hot issue in Computer Graphic and Computer Vision. Non-local Means method is one of the great performing methods which arouse tremendous research..Aiming at the problem of blurs the details in original non-local means al- gorithm,this paper proposes a cosine exponential function. It is used in the weight-computing of the improved algorithm. Experimental re- sults show the algorithm has a superior denoising performance than the original one.
作者
刘卓亚
LIU Zhuo-ya （Yunnan Vocational College of Mechanical and Electrical Technology, Kunming 650203,China）
出处
《电脑知识与技术》
2012年第8期5448-5449,5453,共3页
Computer Knowledge and Technology
关键词
图像处理
非局部均值算法
图像去噪
高斯噪声
image processing
nonlocal means algorithm
image denoising
gaussian noise
