0493936 20240111141006.620181002235959.9 3 s. E cav_un_epca*049396718-20GhentGhent University2018 information separation pigments art investigation cav_un_auth*0254045 Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing 90 Blažek Jan UTIA-B CZ Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101238 Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing 10 Zitová Barbara UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. PDF http://library.utia.cas.cz/separaty/2018/ZOI/blazek-0493936.pdf 35,1MB The goal of artwork analyzes is often to detect of pentimenti, retouches, overpaintings, or varnishes in order to understand a painting structure. A common model of a painting used for interpretation of an artwork multimodal dataset is based on its multilayer characteristics. Another possibility how to address an artwork structure is to study an information gain of a particular modality. We have developed a new approach [2] for the information gain extraction and demonstrated its applicability. We present a comparison of four methods for the information separation [4, 1, 3, 2] applied on a multimodal dataset. Their ability to uncover concealed features of paintings will be presented together with their requirements and limitations. The separation limits will be shown using a concept of the intensity correspondence matrix (ICM), which can well describe the correlation and the mutual information. ICM also gives evidence of possibility to achieve an effective signal separation. cav_un_auth*0364579 Image processing for art investigation 20180621 20180622 Gent BE IN 10000 10200 10201 2019 2 PR RVO:67985556 http://hdl.handle.net/11104/0287223 S 2018 SCOPUS PUBMED WOS PDF 35,1MB cav_un_epca*0493967 PROCEEDINGS of the sixth International workshop on Image Processing for Art Investigation (IP4AI 2018) 18 20 Ghent Ghent University 2018