Color Quality Comparison in Spectrally (Un)Correlated Random Field Models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F24%3A00587782" target="_blank" >RIV/67985556:_____/24:00587782 - isvavai.cz</a>
Result on the web
<a href="http://wscg.zcu.cz/WSCG2024/CSRN-2024/C05-2024.pdf" target="_blank" >http://wscg.zcu.cz/WSCG2024/CSRN-2024/C05-2024.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.24132/CSRN.3401.21" target="_blank" >10.24132/CSRN.3401.21</a>
Alternative languages
Result language
angličtina
Original language name
Color Quality Comparison in Spectrally (Un)Correlated Random Field Models
Original language description
We inspect the ability to reproduce spectral (color) composition in random field-based texture models, test when it can neglect spectral correlation, and simplify these random models without visibly depreciating their visual quality. These probabilistic models present essential two or three-dimensional factors for modeling seven-dimensional Bidirectional Texture Function (BTF) - the most advanced representation currently used in real-world material visual properties modeling. They can seamlessly approximate original measured massive data and extend them to an arbitrary size or simulate unmeasured ones. Using extensive test data sets and a small set of setup control parameters, these models reach a vast compression ratio while maintaining the visual quality of measurements, and thus, they are the only viable alternative for BTF practical usage.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Computer Science Research Notes
ISSN
2464-4617
e-ISSN
2464-4625
Volume of the periodical
3401
Issue of the periodical within the volume
1
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
10
Pages from-to
197-206
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85211110709