| 基于非局部均值的图像降噪 |
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| 引用本文： | 祁国平,吴朝润. 基于非局部均值的图像降噪[J]. 山西电子技术, 2012, 0(2): 45-47 |
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| 作者姓名： | 祁国平 吴朝润 |
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| 作者单位： | [1]中北大学电子测试技术国家重点实验室,山西太原030051 [2]中北大学信息与通信工程学院,山西太原030051 |
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| 摘 要： | 首先介绍了图像降噪的基本思路,其次介绍了非局部均值降噪算法,最后用MATLAB R2008a实现非局部均值降噪算法在不同标准差下的降噪效果,用结构相似度及峰值信噪比评价标准评价该算法,列出它们的图像降噪处理结果及评价准则数据。在此基础上寻找适合人类视觉效果的图像降噪算法。
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| 关 键 词： | 图像降噪 非局部均值 峰值信噪比 结构相似度 |
Image Denoising Based on Non-local Means Algorithm |
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| Qi Guo-ping,Wu Zhao-run. Image Denoising Based on Non-local Means Algorithm[J]. Shanxi Electronic Technology, 2012, 0(2): 45-47 |
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| Authors: | Qi Guo-ping Wu Zhao-run |
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| Affiliation: | 1.National Key Laboratory for Electronic Measurement and Technology,North University of China,Taiyuan Shanxi 030051,China;2.School of Information and Communication Engineering,North University of China,Taiyuan Shanxi 030051,China) |
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| Abstract: | The article introduces the basic idea of the image denoising research,then describes a non-local means denoise algorithms.Finally,it uses MATLAB R2008a to achieve the noise reduction effect of the non-local mean noise reduction algorithm under the different standard deviation,and assessment this algorithm with structural similarity and peak signal to noise,lists the image denoise processing results and evaluation criteria for data.On this basis,it finds the image denoising algorithm that suitable for human visual system. |
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| Keywords: | image denoising non-local means peak signal-to-noise ratio（PSNR） structural similarity（SSIM） |
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