Optimization and Assessment of Wavelet Packet Decompositions with Evolutionary Computation

Optimization and Assessment of Wavelet Packet Decompositions with Evolutionary Computation

Blog Article

In image compression, Queen Slat Headboard 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 Horns 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.