Optimization and Assessment of Wavelet Packet Decompositions with Evolutionary Computation
Optimization and Assessment of Wavelet Packet Decompositions with Evolutionary Computation
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pomyslnaszycie.com 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 silver lining herbs kidney support but are superior in terms of rate/distortion performance compared to EC methods.