Image fusion for art analysis

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F11%3A00358443" target="_blank" >RIV/67985556:_____/11:00358443 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1117/12.872420" target="_blank" >http://dx.doi.org/10.1117/12.872420</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1117/12.872420" target="_blank" >10.1117/12.872420</a>

Result language
angličtina
Original language name
Image fusion for art analysis
Original language description
Our paper addresses problem of multimodal data acquisition and data visualization for art analysis. Various types of modalities of digital images are used for art analysis. The data we can obtain differ in two ways. The images can differ by their mutualgeometry and radiometric quality. These are the differences we would like to remove. The group of differences we are interested in are details or characteristics of an artwork, which are apparent just in the certain modality. The two groups represent twocategories of image processing methods we have to deal with. The first one is represented by image preprocessing methods such as data enhancement and restoration, the second class includes effective ways how to combine the acquired information into oneimage - image fusion. In our paper we present image enhancement for microscopic multimodal data and their segmentation and recent results in data fusion and visualization for art analysis from the second category of methods.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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