OPTIMIZATION AND ASSESSMENT OF WAVELET PACKET DECOMPOSITIONS WITH EVOLUTIONARY COMPUTATION

Optimization and Assessment of Wavelet Packet Decompositions with Evolutionary Computation

Optimization and Assessment of Wavelet Packet Decompositions with Evolutionary Computation

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In image compression, the wavelet transformation is a state-of-the-art component.Recently, wavelet packet decomposition has received quite an interest.A popular tennessee titans dog bandana 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 acure face lotion 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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