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  • 标题:Singular spectrum analysis for image processing
  • 本地全文:下载
  • 作者:Licesio J. Rodríguez-Aragón ; Anatoly Zhigljavsky
  • 期刊名称:Statistics and Its Interface
  • 印刷版ISSN:1938-7989
  • 电子版ISSN:1938-7997
  • 出版年度:2010
  • 卷号:3
  • 期号:3
  • 页码:419-426
  • DOI:10.4310/SII.2010.v3.n3.a14
  • 出版社:International Press
  • 摘要:A technique of image processing based on application of the Singular Spectrum Analysis (SSA) is discussed and illustrated on the problem of denoising the celebrated ‘Lena’ image corrupted with noise. Also, SSA-based distances between two images are introduced and suggested for a possible use in the face verification problem.
  • 关键词:singular spectrum analysis; time series analysis; distance between images; face verification
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