| 一种基于优化参数的非局部均值滤波算法 |
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| 引用本文： | 张权,罗立民,桂志国,马杰.一种基于优化参数的非局部均值滤波算法[J].计算机应用与软件,2012(3):78-81,138. |
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| 作者姓名： | 张权 罗立民 桂志国 马杰 |
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| 作者单位： | 东南大学影像科学与技术实验室;中北大学信息与通信工程学院;北方科技信息研究所 |
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| 基金项目： | 国家自然科学基金项目(61071192);国家重点基础研究发展计划资助项目(2010CB732503);山西省自然科学基金项目(2009011020-2) |
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| 摘 要： | 针对非局部均值滤波算法中难以找到一个全局最优的滤波参数h的问题,给出一种新的该参数的优化方法,并将其应用于传统非局部均值滤波算法的改进。首先基于SUSAN算法提取噪声图像的边缘信息,然后在大量实验的基础上,利用线性回归和非线性回归分析方法建立h与边缘信息、噪声方差之间的优化模型。最后,将基于该优化模型的非局部均值算法应用于多幅图像的去噪处理中。实验结果表明,新算法改善了传统非局部均值算法的去噪性能,取得了良好的滤波效果。
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| 关 键 词： | 边缘信息 非局部均值滤波 图像去噪 优化参数 回归分析 |
A NON-LOCAL MEAN FILTERING ALGORITHM BASED ON OPTIMUM PARAMETER |
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| Zhang Quan,Luo Limin,Gui Zhiguo,Ma Jie.A NON-LOCAL MEAN FILTERING ALGORITHM BASED ON OPTIMUM PARAMETER[J].Computer Applications and Software,2012(3):78-81,138. |
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| Authors: | Zhang Quan Luo Limin Gui Zhiguo Ma Jie |
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| Affiliation: | 1(Laboratory of Image Science and Technology,Southeast University,Nanjing 210096,Jiangsu,China) 2(School of Information and Communication Engineering,North University of China,Taiyuan 030051,Shanxi,China) 3(North Institute of Scientific and Technical Information,Beijing 100089,China) |
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| Abstract: | Aiming at the difficulty of finding a global optimum filtering parameter h on non-local mean filtering algorithm,a novel method of optimisation of parameter h is presented and is applied to the improvement of non-local mean algorithm.First,the edge information of noise image is extracted based on SUAN algorithm.Then,on the basis of lots of experiments,the optimum model of h in relation with edge information and noise variance is set up by linear regression and nonlinear regression analysis methods.Finally,several noise images are processed by non-local mean algorithm based on this optimum parameter model.The experimental results show that the proposed algorithm improves the denoising performance of traditional non-local mean algorithm and a good filtering effect is obtained. |
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| Keywords: | Edge information Non-local mean filtering Image denoising Optimum parameter Regression analysis |
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