20.500.12556/DKUM-88646 Kolmogorov compression complexity may differentiate different schools of Orthodox iconography 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. iconography complexity Kolmogorov compression art physics ikonografija kompleksnost kompresija Kolmogorova umetnost fizika true false true Nature Publishing Group Angleški jezik Slovenski jezik Znanstveno delo 2024-05-17 03:21:23 2024-07-15 14:16:42 2024-07-16 03:57:33 0000-00-00 00:00:00 2022 0 0 Str. 1-15 Št. članka 10743 Letn. 12 2022 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2021-12-01 2022-05-16 2022-06-24 53 113138435 10.1038/s41598-022-12826-w 2045-2322 Peptenatu-2022-Kolmogorov_compression_complexi.pdf Peptenatu-2022-Kolmogorov_compression_complexi.pdf 1 28207C12B466E6FC1DBA9D2384F3BB39 0150180b75235d7bfe36114577b4acdc7183d198d82370954679750c1443243f fb72de90-42a3-11ef-99b3-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=181491 https://doi.org/10.1038/s41598-022-12826-w 0 0232da36-42a4-11ef-99b3-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=181492 Fakulteta za naravoslovje in matematiko 0 0 0