| 多尺度域非线性能量保持的图像去噪新方法 |
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| 引用本文： | 范燕,宋晓宁,吴小俊. 多尺度域非线性能量保持的图像去噪新方法[J]. 计算机工程与应用, 2010, 46(6): 166-168. DOI: 10.3778/j.issn.1002-8331.2010.06.048 |
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| 作者姓名： | 范燕 宋晓宁 吴小俊 |
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| 作者单位： | 江苏科技大学,电子信息学院,江苏,镇江,212003;南京理工大学,计算机科学与技术系,南京,210094;江南大学,信息工程学院,江苏,无锡,214122 |
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| 基金项目： | 国家自然科学基金(No.60572034);;江苏省自然科学基金(No. BK2004058);;江苏科技大学电子信息学院青年教师科研立项资助~~ |
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| 摘 要： | 提出了一种基于Contourlet多尺度分解域核主成分分析的图像去噪新方法。该方法首先对源图像进行Contourlet分解,在不同频段的子带图像中,利用核主成分分析方法进行能量保持,用重构图像来进行子带去噪,最后通过Contourlet逆变换得到去噪之后的图像。实验结果表明,该方法不仅有效地降低了图像噪声,且峰值信噪比也较高。
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| 关 键 词： | 轮廓波变换 核主成分分析 图像去噪 多尺度分解 |
| 收稿时间： | 2008-08-29 |
| 修稿时间： | 2008-11-17 |
New image denoising method based on multi-scale decomposition and nonlinear energy preserve |
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| FAN Yan,SONG Xiao-ning,WU Xiao-jun. New image denoising method based on multi-scale decomposition and nonlinear energy preserve[J]. Computer Engineering and Applications, 2010, 46(6): 166-168. DOI: 10.3778/j.issn.1002-8331.2010.06.048 |
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| Authors: | FAN Yan SONG Xiao-ning WU Xiao-jun |
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| Affiliation: | 1.School of Electronics and Information,Jiangsu University of Science and Technology,Zhenjiang,Jiangsu 212003,China 2.Department of Computer Science and Technology,Nanjing University of Science and Technology,Nanjing 210094,China 3.School of Information Engineering,Jiangnan University,Wuxi,Jiangsu 214122,China |
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| Abstract: | A new method based on Kernel Principal Component Analysis(KPCA) in contourlet multi-scale decomposition domain is proposed in order to solve image denoising problem.Firstly,contourlet transformation is applied on source image with this method.Secondly,image denoising is executed on different frequency sub-images with reconstructed images by KPCA method.Finally,denoised image is attained with inverse contourlet transform.The experimental results on images demonstrate that the proposed method not only decreas... |
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| Keywords: | Contourlet transform kernel principal component analysis image denoising multi-scale decomposition |
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