Title :
A Wavelet based coding scheme via atomic approximation and adaptive sampling of the lowest frequency band
Author :
Bruni, V. ; Vitulano, D.
Author_Institution :
Ist. per le Applicazioni del Calcolo “M. Picone”, Rome, Italy
Abstract :
In this paper1 a new wavelet based coding scheme exploiting Wavelet Atoms and a Non Uniform Sampling (WANUS) of the lowest frequency band is presented. The encoder only sends the lowest frequency band (LFB) to the decoder. This latter exploits atomic approximation for predicting wavelet details band from LFB. Since this strategy only works in an undecimated wavelet domain, we prove here that an effective adaptive downsampling of the LFB can be reached using the minimax technique. The proposed scheme outperforms available coders in terms of rate-distortion results requiring a moderate computational effort.
Keywords :
codecs; image coding; minimax techniques; wavelet transforms; adaptive sampling; atomic approximation; decoder; minimax technique; wavelet atoms; wavelet based coding scheme; Approximation methods; Atomic clocks; Image coding; Image edge detection; Minimax techniques; Splines (mathematics); Transform coding; Adaptive sampling; Image compression; Minimax technique; Wavelet atoms;
Conference_Titel :
Signal Processing Conference, 2008 16th European
Conference_Location :
Lausanne