| 主成分分析的图像压缩与重构 |
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| 引用本文： | 姜虹. 主成分分析的图像压缩与重构[J]. 电子设计工程, 2012, 20(5): 126-128 |
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| 作者姓名： | 姜虹 |
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| 作者单位： | 西安工业大学计算机科学与工程学院,陕西西安,710032 |
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| 摘 要： | 针对图像占用空间大，特征表示时维数较高等的缺点，系统介绍了主成分分析（PCA）的基本原理。提出了利用PCA进行图像数据压缩与重建的基本模型。实验结果表明，利用PCA能有效的减少数据的维数，进行特征提取，实现图像压缩，同时并根据实际需要重建图像。
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| 关 键 词： | 图像压缩 PCA 图像重建 特征提取 |
Image compression and reconstruction of PCA |
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| JIANG Hong. Image compression and reconstruction of PCA[J]. Electronic Design Engineering, 2012, 20(5): 126-128 |
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| Authors: | JIANG Hong |
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| Affiliation: | JIANG Hong(School of Computer Science and Engineering,Xi’an Technological University,Xi’an 710032,China) |
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| Abstract: | Point to the weakness of space-consuming and higher dimension when featuring the images of the traditional method,the article introduced the basic principles of principal component analysis(PCA),established a basic model of a image data compression in use of PCA.Experimental results show that PCA can effectively reduce the data dimension,implement feature extraction,realize the image compression,and reconstruct image to meet the actual needs. |
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| Keywords: | image compression Principal Components Analysis image reconstruction feature extraction |
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