| 基于奇异值分解图像压缩算法的研究 |
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| 引用本文： | 张成楠.基于奇异值分解图像压缩算法的研究[J].山西电子技术,2010(4):79-80. |
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| 作者姓名： | 张成楠 |
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| 作者单位： | 东华大学理学院,上海201620 |
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| 摘 要： | 提出了一种奇异值分解（SVD）的图像压缩算法,该算法通过对数字图像矩阵进行奇异值分解,将一幅图像转换成包含几个非零值的奇异值矩阵,实现图像压缩,便于图像的储存和传输。MATLAB仿真分析表明,矩阵的奇异值分解压缩方法具有较好的压缩性能,有效提高了压缩比。
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| 关 键 词： | 奇异值分解 图像压缩 压缩率 |
Image Compression Algorithm Based on Singular Value Decomposition |
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| Zhang Cheng-nan.Image Compression Algorithm Based on Singular Value Decomposition[J].Shanxi Electronic Technology,2010(4):79-80. |
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| Authors: | Zhang Cheng-nan |
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| Affiliation: | Zhang Cheng-nan(College of Technology,Donghua University,Shanghai 201620,China) |
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| Abstract: | A image compression algorithm of singular value decomposition（SVD） is proposed.Digital images are carried out by singular value decomposition.A matrix of image is converted into several non-zero value singular value matrixes.Image compression is completed,stored and transmitted.MATLAB simulation shows that the singular value decomposition of matrix compression method has better compression performance,effectively improves the compression ratio. |
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| Keywords: | singular value decomposition image compression compression ratio |
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