基于奇异值分解的有损图像自适应压缩

Q3 Computer Science

Journal of Information Hiding and Multimedia Signal Processing Pub Date : 2019-08-08 DOI:10.4236/JSIP.2019.103005

M. R. Souza, H. Pedrini

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引用次数: 0

摘要

图像压缩技术的目的是减少冗余信息，以便有效地存储和传输数据。在这项工作中，我们提出并分析了一种基于奇异值分解的有损图像压缩方法，该方法使用了特征值的最优选择和块划分的自适应机制。在多幅图像上进行了实验，并与直接应用奇异值分解的方法进行了比较，验证了所提出的压缩方法的有效性。

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Adaptive Lossy Image Compression Based on Singular Value Decomposition

Image compression techniques aim to reduce redundant information in order to allow data storage and transmission in an efficient way. In this work, we propose and analyze a lossy image compression method based on the singular value decomposition using an optimal choice of eigenvalues and an adaptive mechanism for block partitioning. Experiments are conducted on several images to demonstrate the effectiveness of the proposed compression method in comparison with the direct application of the singular value decomposition.

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来源期刊

Journal of Information Hiding and Multimedia Signal Processing Computer Science-Software

CiteScore

3.20

自引率

0.00%

发文量