Optimal wavelet filters selection for ultrasound and mammography compression

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProgress in Pattern Recognition, Image Analysis and Applications - 13th Iberoamerican Congress on Pattern Recognition, CIARP 2008, Proceedings
Pages62-69
Number of pages8
DOIs
StatePublished - 2008
Event13th Iberoamerican Congress on Pattern Recognition, CIARP 2008 - Havana, Cuba
Duration: 9 Sep 200812 Sep 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5197 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th Iberoamerican Congress on Pattern Recognition, CIARP 2008
Country/TerritoryCuba
CityHavana
Period9/09/0812/09/08

Keywords

  • Atomic functions
  • Compression
  • Mammography images
  • Ultrasound images
  • Wavelet transform

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