Medical image processing using novel wavelet filters based on atomic functions: optimal medical image compression.

Abstract:

:The analysis of different Wavelets including novel Wavelet families based on atomic functions are presented, especially for ultrasound (US) and mammography (MG) images compression. This way we are able to determine with 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.

journal_name

Adv Exp Med Biol

authors

Landin CJ,Reyes MM,Martin AS,Rosas RM,Ramirez JL,Ponomaryov V,Soto MD

doi

10.1007/978-1-4419-7046-6_50

subject

Has Abstract

pub_date

2011-01-01 00:00:00

pages

497-504

eissn

0065-2598

issn

2214-8019

journal_volume

696

pub_type

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