Multispectral Texture Fidelity Measure

0497358 - ÚTIA 2019 RIV US eng C - Konferenční příspěvek (zahraniční konf.)
Kudělka, Miloš - Haindl, Michal
Multispectral Texture Fidelity Measure.
SITIS 2018. Proceedings of the 14th International Conference on Signal-Image Technology & Internet-Based Systems. Los Alamitos: IEEE Computer Society CPS, 2018 - (Sanniti di Baja, G.; Gallo, L.; Yetongnon, K.; Dipanda, A.; Castrillón-Santana, M.; Chbeir, R.), s. 658-663, č. článku 106. ISBN 978-1-5386-9385-8.
[SITIS 2018. International Conference on Signal Image Technology & Internet Based Systems /14./. Las Palmas de Gran Canaria (ES), 26.11.2018-29.11.2018]
Grant ostatní: GA UK(CZ) SVV-260452/2017
Institucionální podpora: RVO:67985556
Klíčová slova: image texture * multispectral texture fidelity * visual quality measure * Markovian texture model
Obor OECD: Communication engineering and systems
http://library.utia.cas.cz/separaty/2018/RO/kudelka-0497358.pdf

Automatic texture fidelity assessment that would correspond to the human visual perception is an important, but still unsolved computer vision problem with numerous useful applications in the various vision application areas such as image compression and modeling, video streaming or fast image database retrieval. The problem is not satisfyingly solved even for the most simple static monospectral texture representation thus progress in the automatic assessment of texture fidelity is required. We propose improved multiresolution texture fidelity measure based on Markovian random field texture model, which correlates well with human texture fidelity evaluation obtained from texture fidelity benchmark.
Trvalý link: http://hdl.handle.net/11104/0290642