Kolmogorov compression complexity may differentiate different schools of Orthodox iconography
Аутори
Peptenatu, DanielAndronache, Ion
Ahammer, Helmut
Taylor, Richard
Liritzis, Ioannis
Radulovic, Marko
Ciobanu, Bogdan
Burcea, Marin
Perc, Matjaz
Pham, Tuan D.
Tomić, Bojan
Cîrstea, Cosmin Iulian
Lemeni, Adrian Nicolae
Gruia, Andreea Karina
Grecu, Alexandra
Marin, Marian
Jelinek, Herbert Franz
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
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.
Кључне речи:
fractal analysis / orthodox iconography / kolmogorov complexity / complexity and artИзвор:
Scientific Reports, 2022, 12, 10743-Издавач:
- Springer Nature
Финансирање / пројекти:
- Romanian Ministry of Education and Research, CNCS—UEFISCDI, project number PN-III-P4-ID-PCE-2020-1076
- Ministry of Research, Innovation and Digitization, CNCS/CCCDI-UEFISCDI, project number PN-III-P2-2.1-SOL-2021-0084
- The University of Bucharest, Romania, project number 10680 UB
- The University of Bucharest, Romania, project number 10681 UB
- The Slovenian Research Agency (Grant Nos. P1-0403 and J1-2457)
- 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
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200053 (Универзитет у Београду, Институт за мултидисциплинарна истраживања) (RS-200053)
Институција/група
Institut za multidisciplinarna istraživanjaTY - JOUR AU - Peptenatu, Daniel AU - Andronache, Ion AU - Ahammer, Helmut AU - Taylor, Richard AU - Liritzis, Ioannis AU - Radulovic, Marko AU - Ciobanu, Bogdan AU - Burcea, Marin AU - Perc, Matjaz AU - Pham, Tuan D. AU - Tomić, Bojan AU - Cîrstea, Cosmin Iulian AU - Lemeni, Adrian Nicolae AU - Gruia, Andreea Karina AU - Grecu, Alexandra AU - Marin, Marian AU - Jelinek, Herbert Franz PY - 2022 UR - http://rimsi.imsi.bg.ac.rs/handle/123456789/1567 AB - 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. PB - Springer Nature T2 - Scientific Reports T1 - Kolmogorov compression complexity may differentiate different schools of Orthodox iconography SP - 10743 VL - 12 DO - 10.1038/s41598-022-12826-w ER -
@article{ author = "Peptenatu, Daniel and Andronache, Ion and Ahammer, Helmut and Taylor, Richard and Liritzis, Ioannis and Radulovic, Marko and Ciobanu, Bogdan and Burcea, Marin and Perc, Matjaz and Pham, Tuan D. and Tomić, Bojan and Cîrstea, Cosmin Iulian and Lemeni, Adrian Nicolae and Gruia, Andreea Karina and Grecu, Alexandra and Marin, Marian and Jelinek, Herbert Franz", year = "2022", 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.", publisher = "Springer Nature", journal = "Scientific Reports", title = "Kolmogorov compression complexity may differentiate different schools of Orthodox iconography", pages = "10743", volume = "12", doi = "10.1038/s41598-022-12826-w" }
Peptenatu, D., Andronache, I., Ahammer, H., Taylor, R., Liritzis, I., Radulovic, M., Ciobanu, B., Burcea, M., Perc, M., Pham, T. D., Tomić, B., Cîrstea, C. I., Lemeni, A. N., Gruia, A. K., Grecu, A., Marin, M.,& Jelinek, H. F.. (2022). Kolmogorov compression complexity may differentiate different schools of Orthodox iconography. in Scientific Reports Springer Nature., 12, 10743. https://doi.org/10.1038/s41598-022-12826-w
Peptenatu D, Andronache I, Ahammer H, Taylor R, Liritzis I, Radulovic M, Ciobanu B, Burcea M, Perc M, Pham TD, Tomić B, Cîrstea CI, Lemeni AN, Gruia AK, Grecu A, Marin M, Jelinek HF. Kolmogorov compression complexity may differentiate different schools of Orthodox iconography. in Scientific Reports. 2022;12:10743. doi:10.1038/s41598-022-12826-w .
Peptenatu, Daniel, Andronache, Ion, Ahammer, Helmut, Taylor, Richard, Liritzis, Ioannis, Radulovic, Marko, Ciobanu, Bogdan, Burcea, Marin, Perc, Matjaz, Pham, Tuan D., Tomić, Bojan, Cîrstea, Cosmin Iulian, Lemeni, Adrian Nicolae, Gruia, Andreea Karina, Grecu, Alexandra, Marin, Marian, Jelinek, Herbert Franz, "Kolmogorov compression complexity may differentiate different schools of Orthodox iconography" in Scientific Reports, 12 (2022):10743, https://doi.org/10.1038/s41598-022-12826-w . .