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基于奇异值分解图像压缩算法的研究 被引量：6

Image Compression Algorithm Based on Singular Value Decomposition
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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。 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.
作者 张成楠
机构地区 东华大学理学院
出处 《山西电子技术》 2010年第4期79-80,共2页 Shanxi Electronic Technology
关键词 奇异值分解 图像压缩 压缩率 singular value decomposition image compression compression ratio
分类号 TN941.3 [电子电信—信号与信息处理]
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共引文献32

同被引文献39

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山西电子技术
2010年 第4期

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