Number of the records: 1

Texture fidelity criterion

SYSNO ASEP	0463638
Document Type	C - Proceedings Paper (int. conf.)
R&D Document Type	Conference Paper
Title	Texture fidelity criterion
Author(s)	Kudělka, Miloš (UTIA-B)_RID Haindl, Michal (UTIA-B)_{RID, ORCID}
Number of authors	2
Source Title	Proceedings of the 2016 IEEE International Conference on Image Processing. - Piscataway : IEEE, 2016 - ISBN 978-1-4673-9961-6
Number of pages	5 s.
Publication form	Online - E
Action	2016 IEEE International Conference on Image Processing (ICIP)
Event date	25.09.2016-28.09.2016
VEvent location	Phoenix, AZ
Country	US - United States
Event type	WRD
Language	eng - English
Country	US - United States
Keywords	Image texture ; texture fidelity ; visual quality criterion ; Markovian texture model
Subject RIV	BD - Theory of Information
R&D Projects	GA14-10911S GA ČR - Czech Science Foundation (CSF)
Institutional support	UTIA-B - RVO:67985556
UT WOS	000390782002026
EID SCOPUS	85006812184
DOI	10.1109/ICIP.2016.7532721
Annotation	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.
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
Year of Publishing	2017

Number of the records: 1