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  • 标题:Optimization and Assessment of Wavelet Packet Decompositions with Evolutionary Computation
  • 本地全文:下载
  • 作者:Thomas Schell ; Andreas Uhl
  • 期刊名称:EURASIP Journal on Advances in Signal Processing
  • 印刷版ISSN:1687-6172
  • 电子版ISSN:1687-6180
  • 出版年度:2003
  • 卷号:2003
  • 期号:8
  • 页码:806-813
  • DOI:10.1155/S111086570330407X
  • 出版社:Hindawi Publishing Corporation
  • 摘要:

    In image compression, the wavelet transformation is a state-of-the-art component. Recently, wavelet packet decomposition has received quite an interest. A popular approach for wavelet packet decomposition is the near-best-basis algorithm using nonadditive cost functions. In contrast to additive cost functions, the wavelet packet decomposition of the near-best-basis algorithm is only suboptimal. We apply methods from the field of evolutionary computation (EC) to test the quality of the near-best-basis results. We observe a phenomenon: the results of the near-best-basis algorithm are inferior in terms of cost-function optimization but are superior in terms of rate/distortion performance compared to EC methods.

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