Recognition of Images Degraded by Gaussian Blur
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F15%3A00447035" target="_blank" >RIV/67985556:_____/15:00447035 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-23192-1_8" target="_blank" >http://dx.doi.org/10.1007/978-3-319-23192-1_8</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-23192-1_8" target="_blank" >10.1007/978-3-319-23192-1_8</a>
Alternative languages
Result language
angličtina
Original language name
Recognition of Images Degraded by Gaussian Blur
Original language description
We introduce a new theory of invariants to Gaussian blur. The invariants are defined in Fourier spectral domain by means of projection operators and, equivalently, in the image domain by means of image moments. The application of these invariants is in blur-invariant image comparison and recognition. The behavior of the invariants is studied and compared with other methods in experiments on both artificial and real blurred and noisy images.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA15-16928S" target="_blank" >GA15-16928S: Invariants and adaptive representations of digital images</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computer Analysis of Images and Patterns - CAIP 2015
ISBN
978-3-319-23192-1
ISSN
0302-9743
e-ISSN
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Number of pages
12
Pages from-to
88-99
Publisher name
Springer International Publishing
Place of publication
Switzerland
Event location
Valletta
Event date
Sep 2, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000364705500008