Texture fidelity criterion
Result description
Visual texture fidelity evaluation is important but still unsolved problem. Evaluation of how well various texture models conform with human visual perception of their original measured pattern is required not only for assessing the visual dissimilarities between a model output and the original measured texture, but also for optimal settings of model parameters, for fair comparison of distinct models, or visual scene understanding. We propose a novel texture fidelity criterion based on the fully multi-spectral generative underlying Markovian texture model, which correlates well with human texture quality ranking verified on the texture fidelity benchmark.
Keywords
Image texturetexture fidelityvisual quality criterionMarkovian texture model
The result's identifiers
Result code in IS VaVaI
Result on the web
DOI - Digital Object Identifier
Alternative languages
Result language
angličtina
Original language name
Texture fidelity criterion
Original language description
Visual texture fidelity evaluation is important but still unsolved problem. Evaluation of how well various texture models conform with human visual perception of their original measured pattern is required not only for assessing the visual dissimilarities between a model output and the original measured texture, but also for optimal settings of model parameters, for fair comparison of distinct models, or visual scene understanding. We propose a novel texture fidelity criterion based on the fully multi-spectral generative underlying Markovian texture model, which correlates well with human texture quality ranking verified on the texture fidelity benchmark.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BD - Information theory
OECD FORD branch
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Result continuities
Project
GA14-10911S: Mathematical modeling of surface material appearance
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2016 IEEE International Conference on Image Processing
ISBN
978-1-4673-9961-6
ISSN
2381-8549
e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
IEEE
Place of publication
Piscataway
Event location
Phoenix, AZ
Event date
Sep 25, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000390782002026
Basic information
Result type
D - Article in proceedings
CEP
BD - Information theory
Year of implementation
2016