Large-Scale Quantitative Analysis of Painting Artsopen access
- Authors
- Kim, Daniel; Son, Seung-Woo; Jeong, Hawoong
- Issue Date
- Dec-2014
- Publisher
- NATURE PUBLISHING GROUP
- Citation
- SCIENTIFIC REPORTS, v.4, pp.1 - 7
- Indexed
- SCIE
SCOPUS
- Journal Title
- SCIENTIFIC REPORTS
- Volume
- 4
- Start Page
- 1
- End Page
- 7
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/21052
- DOI
- 10.1038/srep07370
- ISSN
- 2045-2322
- Abstract
- Scientists have made efforts to understand the beauty of painting art in their own languages. As digital image acquisition of painting arts has made rapid progress, researchers have come to a point where it is possible to perform statistical analysis of a large-scale database of artistic paints to make a bridge between art and science. Using digital image processing techniques, we investigate three quantitative measures of images - the usage of individual colors, the variety of colors, and the roughness of the brightness. We found a difference in color usage between classical paintings and photographs, and a significantly low color variety of the medieval period. Interestingly, moreover, the increment of roughness exponent as painting techniques such as chiaroscuro and sfumato have advanced is consistent with historical circumstances.
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Collections - COLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY > DEPARTMENT OF APPLIED PHYSICS > 1. Journal Articles
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