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Kolmogorov compression complexity may differentiate different schools of Orthodox iconography
dc.creator | Peptenatu, Daniel | |
dc.creator | Andronache, Ion | |
dc.creator | Ahammer, Helmut | |
dc.creator | Taylor, Richard | |
dc.creator | Liritzis, Ioannis | |
dc.creator | Radulovic, Marko | |
dc.creator | Ciobanu, Bogdan | |
dc.creator | Burcea, Marin | |
dc.creator | Perc, Matjaz | |
dc.creator | Pham, Tuan D. | |
dc.creator | Tomić, Bojan | |
dc.creator | Cîrstea, Cosmin Iulian | |
dc.creator | Lemeni, Adrian Nicolae | |
dc.creator | Gruia, Andreea Karina | |
dc.creator | Grecu, Alexandra | |
dc.creator | Marin, Marian | |
dc.creator | Jelinek, Herbert Franz | |
dc.date.accessioned | 2022-09-01T11:17:49Z | |
dc.date.available | 2022-09-01T11:17:49Z | |
dc.date.issued | 2022 | |
dc.identifier.issn | 2045-2322 | |
dc.identifier.uri | http://rimsi.imsi.bg.ac.rs/handle/123456789/1567 | |
dc.description.abstract | The complexity in the styles of 1200 Byzantine icons painted between 13th and 16th from Greece, Russia and Romania was investigated through the Kolmogorov algorithmic information theory. The aim was to identify specific quantitative patterns which define the key characteristics of the three different painting schools. Our novel approach using the artificial surface images generated with Inverse FFT and the Midpoint Displacement (MD) algorithms, was validated by comparison of results with eight fractal and non-fractal indices. From the analyzes performed, normalized Kolmogorov compression complexity (KC) proved to be the best solution because it had the best complexity pattern differentiations, is not sensitive to the image size and the least affected by noise. We conclude that normalized KC methodology does offer capability to differentiate the icons within a School and amongst the three Schools. | sr |
dc.language.iso | en | sr |
dc.publisher | Springer Nature | sr |
dc.relation | Romanian Ministry of Education and Research, CNCS—UEFISCDI, project number PN-III-P4-ID-PCE-2020-1076 | sr |
dc.relation | Ministry of Research, Innovation and Digitization, CNCS/CCCDI-UEFISCDI, project number PN-III-P2-2.1-SOL-2021-0084 | sr |
dc.relation | The University of Bucharest, Romania, project number 10680 UB | sr |
dc.relation | The University of Bucharest, Romania, project number 10681 UB | sr |
dc.relation | The Slovenian Research Agency (Grant Nos. P1-0403 and J1-2457) | sr |
dc.relation | Sino-Hellenic Academic Project from Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng, China | sr |
dc.relation | info:eu-repo/grantAgreement/MESTD/inst-2020/200053/RS// | sr |
dc.rights | openAccess | sr |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.source | Scientific Reports | sr |
dc.subject | fractal analysis | sr |
dc.subject | orthodox iconography | sr |
dc.subject | kolmogorov complexity | sr |
dc.subject | complexity and art | sr |
dc.title | Kolmogorov compression complexity may differentiate different schools of Orthodox iconography | sr |
dc.type | article | sr |
dc.rights.license | BY | sr |
dc.citation.spage | 10743 | |
dc.citation.volume | 12 | |
dc.identifier.doi | 10.1038/s41598-022-12826-w | |
dc.identifier.fulltext | http://rimsi.imsi.bg.ac.rs/bitstream/id/3791/s41598-022-12826-w.pdf | |
dc.type.version | publishedVersion | sr |