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PŘINOSIL, J. SMÉKAL, Z. BARTUŠEK, K.
Original Title
Wavelet Thresholding Techniques in MRI Domain
Type
conference paper
Language
English
Original Abstract
This paper deals with MR image de-noising by using the wavelet analysis focusing on the wavelet thresholding techniques and the threshold estimation. Hard, soft, semi-soft and non-negative garrote thresholding techniques are described and applied to test images with two different threshold estimators; one uses the universal threshold and the second is derived from the Bayesian risk minimization. The results are compared according to three parameters: SNR, intensity contrast and intensity gradient.
Keywords
MR images, wavelet analysis, thresholding techniques, threshold estimation.
Authors
PŘINOSIL, J.; SMÉKAL, Z.; BARTUŠEK, K.
RIV year
2010
Released
7. 3. 2010
Publisher
IEEE Computer Society Conference Publishing Services (
ISBN
978-0-7695-3968-3
Book
Proceedings of the First International Conference on Biosciences BioSciencesWorld 2010
Edition number
1
Pages from
58
Pages to
63
Pages count
6
BibTex
@inproceedings{BUT30311, author="Jiří {Přinosil} and Zdeněk {Smékal} and Karel {Bartušek}", title="Wavelet Thresholding Techniques in MRI Domain", booktitle="Proceedings of the First International Conference on Biosciences BioSciencesWorld 2010", year="2010", number="1", pages="58--63", publisher="IEEE Computer Society Conference Publishing Services (", isbn="978-0-7695-3968-3" }