0497358 20240103221021.820181130235959.9 85065911629 000469258400095 10.1109/SITIS.2018.00106 Multispectral Texture Fidelity Measure 6 s. P cav_un_epca*0497818978-1-5386-9385-8SITIS 2018. Proceedings of the 14th International Conference on Signal-Image Technology & Internet-Based Systems658-663Los AlamitosIEEE Computer Society CPS2018Sanniti di BajaG.GalloL.YetongnonK.DipandaA.Castrillón-SantanaM.ChbeirR. image texture multispectral texture fidelity visual quality measure Markovian texture model cav_un_auth*0287263 Kudělka Miloš UTIA-B Rozpoznávání obrazu Department of Pattern Recognition RO RO Department of Pattern Recognition CZ Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101093 Haindl Michal UTIA-B Rozpoznávání obrazu Department of Pattern Recognition RO RO Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2018/RO/kudelka-0497358.pdf cav_un_auth*0371356 SVV-260452/2017 GA UK CZ 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. cav_un_auth*0368592 SITIS 2018. International Conference on Signal Image Technology & Internet Based Systems /14./ 20181126 20181129 Las Palmas de Gran Canaria ES BD 20000 20200 20202 2019 2 PR RVO:67985556 http://hdl.handle.net/11104/0290642 S 106 RIV/67985556:_____/18:00497358!RIV19-AV0-67985556 192095230 Dolnění UT WOS a Scopus 3+4 Proceedings Paper Computer Science Software Engineering|Computer Science Theory Methods|Engineering Electrical Electronic 2018 85065911629 SCOPUS PUBMED 000469258400095 WOS cav_un_epca*0497818 SITIS 2018. Proceedings of the 14th International Conference on Signal-Image Technology & Internet-Based Systems IEEE Computer Society CPS 2018 Los Alamitos 658 663 978-1-5386-9385-8 340 Sanniti di Baja G. 340 Gallo L. 340 Yetongnon K. 340 Dipanda A. 340 Castrillón-Santana M. 340 Chbeir R.