DOAJ Open Access 2022

Kolmogorov compression complexity may differentiate different schools of Orthodox iconography

Daniel Peptenatu Ion Andronache Helmut Ahammer Richard Taylor Ioannis Liritzis +12 lainnya

Abstrak

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.

Topik & Kata Kunci

Medicine Science

Penulis (17)

Daniel Peptenatu

Ion Andronache

Helmut Ahammer

Richard Taylor

Ioannis Liritzis

Marko Radulovic

Bogdan Ciobanu

Marin Burcea

Matjaz Perc

Tuan D. Pham

Bojan M. Tomić

Cosmin Iulian Cîrstea

Adrian Nicolae Lemeni

Andreea Karina Gruia

Alexandra Grecu

Marian Marin

Herbert Franz Jelinek

Format Sitasi

APA MLA BibTeX

Peptenatu, D., Andronache, I., Ahammer, H., Taylor, R., Liritzis, I., Radulovic, M. et al. (2022). Kolmogorov compression complexity may differentiate different schools of Orthodox iconography. https://doi.org/10.1038/s41598-022-12826-w

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Informasi Jurnal

Tahun Terbit: 2022
Sumber Database: DOAJ
DOI: 10.1038/s41598-022-12826-w
Akses: Open Access ✓