Detail publikačního výsledku

Wavelet Thresholding Techniques in MRI Domain

PŘINOSIL, J.; SMÉKAL, Z.; BARTUŠEK, K.

Originální název

Wavelet Thresholding Techniques in MRI Domain

Anglický název

Wavelet Thresholding Techniques in MRI Domain

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

MR images, wavelet analysis, thresholding techniques, threshold estimation.

Klíčová slova v angličtině

MR images, wavelet analysis, thresholding techniques, threshold estimation.

Autoři

PŘINOSIL, J.; SMÉKAL, Z.; BARTUŠEK, K.

Rok RIV

2011

Vydáno

07.03.2010

Nakladatel

IEEE Computer Society Conference Publishing Services (

ISBN

978-0-7695-3968-3

Kniha

Proceedings of the First International Conference on Biosciences BioSciencesWorld 2010

Strany od

58

Strany do

63

Strany počet

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"
}