| 基于稀疏分解的图像去噪 |
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| 引用本文： | 尹忠科,解梅,王建英.基于稀疏分解的图像去噪[J].电子科技大学学报(社会科学版),2006(6). |
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| 作者姓名： | 尹忠科 解梅 王建英 |
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| 作者单位： | 西南交通大学信息科学与技术学院 成都610031(尹忠科，王建英)，电子科技大学电子工程学院 成都610054(解梅) |
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| 基金项目： | 国家自然科学基金资助项目(60602043)，教育部留学回国人员科研启动基金资助项目(教外司[2004]517号)，四川省重点科技计划资助项目(04GG021-020-5、2006X15-038)，四川省应用基础研究项目(04JY029-059-2，2006J13-114) |
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| 摘 要： | 基于稀疏分解的图像去噪处理是将被噪声污染的图像分解成图像的稀疏成分和其他成分。稀疏成分对应于图像中的有用信息,其他成分对应于图像中的噪声。由图像的稀疏成分重建图像,可达到去除图像噪声的目的。实验结果表明基于稀疏分解的图像去噪处理具有一定的效果。
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| 关 键 词： | 图像处理 图像去噪 稀疏分解 峰值信噪比 |
Image Denoising Based on Its Sparse Decomposition |
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| YIN Zhong-ke,XIE Mei,WANG Jian-ying.Image Denoising Based on Its Sparse Decomposition[J].Journal of University of Electronic Science and Technology of China(Social Sciences Edition),2006(6). |
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| Authors: | YIN Zhong-ke XIE Mei WANG Jian-ying |
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| Institution: | YIN Zhong-ke1,XIE Mei2,WANG Jian-ying1 |
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| Abstract: | Image denoising method based on image sparse decomposition is different from the traditional image denoising methods. In this method, image corrupted by noise is decomposed into two parts. One part is the image sparse components which are related to image information. Another part, which remains after the image sparse components are subtracted from the image, is regarded as noise. Image can be denoised by reconstructing image only with its sparse components. Experimental results show the good performance of this method. |
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| Keywords: | image processing image denoising sparse decomposition peak signal-to-noise ratio |
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