| 利用SVD对带噪声的模糊图像进行盲复原 |
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| 引用本文： | 刘琚,何振亚.利用SVD对带噪声的模糊图像进行盲复原[J].数据采集与处理,2002,17(1):1-4. |
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| 作者姓名： | 刘琚 何振亚 |
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| 作者单位： | 1. 山东大学信息科学与工程学院,济南,250100
2. 东南大学无线电工程系,南京,210096 |
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| 基金项目： | 国家自然科学基金 (编号 :30 0 0 0 0 4 1 )，山东省自然科学基金 (编号 :Y2 0 0 0 G1 2 ,1 3)，山东大学青年科学基金资助项目 |
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| 摘 要： | 介绍了具有非负和有限支撑约束的递归逆滤波器盲图像复原算法。在此基础上，利用分块奇异值分解和压缩技术，提出一种去噪声方法，使得可以复原被噪声污染的具有全黑、全白或全灰的背景和有限支撑的目标图像。计算机仿真结果表明，新的方法具有更好的图像复原性能。
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| 关 键 词： | 奇异值分解 图像复原 盲反卷积 SVD 噪声 模糊图像 图像处理 |
| 文章编号： | 1004-9037(2002)01-0001-04 |
| 修稿时间： | 2001年3月1日 |
Blind Restoration of Noise and Images Using SVD |
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| Liu Ju College of Information Science and Engineering,Shandong University Jinan ,P.R.China He Zhenya.Blind Restoration of Noise and Images Using SVD[J].Journal of Data Acquisition & Processing,2002,17(1):1-4. |
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| Authors: | Liu Ju College of Information Science and Engineering Shandong University Jinan PRChina He Zhenya |
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| Affiliation: | Liu Ju College of Information Science and Engineering,Shandong University Jinan 250100,P.R.China He Zhenya |
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| Abstract: | A restoration algorithm for recursive inverse filtering blind image is introduced for non-negative and finite support images. Based on the algorithm, a de-noise method for using blocking singular value decomposition and compress techniques is proposed. In this method, the blur image is divided into blocks and SVD is performed in every block. Singular values which are less than some given value are set to zeroes. New image is reconstructed using the new singular matrix. The filtered blur image is obtained. Computer simulations show that the proposed approach can restore blur and noise images with whole black, whole white or whole gray background. |
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| Keywords: | singular value decomposition image restoration blind deconvolution |
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