Singular Value Decomposition in Image Compression and Blurred Image Restoration
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F18%3A50014622" target="_blank" >RIV/62690094:18450/18:50014622 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-93000-8_8" target="_blank" >http://dx.doi.org/10.1007/978-3-319-93000-8_8</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-93000-8_8" target="_blank" >10.1007/978-3-319-93000-8_8</a>
Alternative languages
Result language
angličtina
Original language name
Singular Value Decomposition in Image Compression and Blurred Image Restoration
Original language description
The singular value decomposition (SVD) is an important and very versatile tool for matrix computations with a variety of uses. The contribution briefly introduces the concept of the SVD and basic facts about it and then describes two classes of its applications in image processing - image compression and blurred image restoration. Calculations are implemented in MATLAB software. Our experiences and the results are presented in the text.
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
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Image Analysis and Recognition
ISBN
978-3-319-92999-6
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
6
Pages from-to
62-67
Publisher name
Springer
Place of publication
Cham
Event location
Póvoa de Varzim, Portugal
Event date
Jun 27, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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