Optimal wavelet filters selection for ultrasound and mammography compression

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Resumen

The analysis of different Wavelets also including novel Wavelets families based on atomic functions are presented, especially for Ultrasound (US) and Mammography (MG) images compression. This way we have been able to determine what type of filters Wavelet works better in compression of such images. Key properties: Frequency response, Approximation Order, Projection cosine, and Riesz bounds were determined and compared for the classic Wavelets W9/7 used in standard JPEG2000, Daubechies8, Symlet8, as well as for the complex Kravchenko-Rvachev wavelets ψ(t) based on the Atomic Functions up(t), fup 2 (t), and eup(t). The comparison results show significantly better performance of novel Wavelets that is justified by experiments and in study of key properties.

Idioma originalInglés
Título de la publicación alojadaProgress in Pattern Recognition, Image Analysis and Applications - 13th Iberoamerican Congress on Pattern Recognition, CIARP 2008, Proceedings
Páginas62-69
Número de páginas8
DOI
EstadoPublicada - 2008
Evento13th Iberoamerican Congress on Pattern Recognition, CIARP 2008 - Havana, Cuba
Duración: 9 sep. 200812 sep. 2008

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen5197 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia13th Iberoamerican Congress on Pattern Recognition, CIARP 2008
País/TerritorioCuba
CiudadHavana
Período9/09/0812/09/08

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