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  • 标题:Adaptive Lossy Image Compression Based on Singular Value Decomposition
  • 本地全文:下载
  • 作者:Marcos Roberto e Souza ; Helio Pedrini
  • 期刊名称:Journal of Signal and Information Processing
  • 印刷版ISSN:2159-4465
  • 电子版ISSN:2159-4481
  • 出版年度:2019
  • 卷号:10
  • 期号:3
  • 页码:59-72
  • DOI:10.4236/jsip.2019.103005
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要: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.
  • 关键词:Image Compression;Adaptive Decomposition;Lossy Compression
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