Design and Analysis of LMMSE Filter for MR Image Data
The result's identifiers
Result code in 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>
Alternative codes found
RIV/62690094:18450/19:50016458
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Design and Analysis of LMMSE Filter for MR Image Data
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
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
Number of pages
13
Pages from-to
336-348
Publisher name
Springer
Place of publication
Cham
Event location
Jogdžakarta
Event date
Apr 8, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000493319700028