Design and Analysis of LMMSE Filter for MR Image Data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F19%3A10242676" target="_blank" >RIV/61989100:27240/19:10242676 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/62690094:18450/19:50016458

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007/978-3-030-14802-7_29" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-14802-7_29</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-14802-7_29" target="_blank" >10.1007/978-3-030-14802-7_29</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Design and Analysis of LMMSE Filter for MR Image Data

Popis výsledku v původním jazyce

This paper deals with the method of removing the noise in MRI images- During data capture and transmission, the data is disturbed by a noise component that cannot be completely reproduced exclude. Noise is defined in signal theory as additive information that was added to the original purchasing equipment or during the transport. Study of noise models is a very important part of image processing. On the images are applied noise generators, and design LMMSE filter, which is used for shaded images. They were tested salt and pepper noise, Gaussian noise and Rican noise. For each noise, more than one level of this noise. Another task was objective and subjective evaluation of the success of the filtration. (C) 2019, Springer Nature Switzerland AG.

Název v anglickém jazyce

Design and Analysis of LMMSE Filter for MR Image Data

Popis výsledku anglicky

This paper deals with the method of removing the noise in MRI images- During data capture and transmission, the data is disturbed by a noise component that cannot be completely reproduced exclude. Noise is defined in signal theory as additive information that was added to the original purchasing equipment or during the transport. Study of noise models is a very important part of image processing. On the images are applied noise generators, and design LMMSE filter, which is used for shaded images. They were tested salt and pepper noise, Gaussian noise and Rican noise. For each noise, more than one level of this noise. Another task was objective and subjective evaluation of the success of the filtration. (C) 2019, Springer Nature Switzerland AG.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 11432

ISBN

978-3-030-14801-0

ISSN

0302-9743

e-ISSN

1611-3349

Počet stran výsledku

13

Strana od-do

336-348

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Jogdžakarta

Datum konání akce

8. 4. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000493319700028