High quality digital imaging of art in Europe
Martinez, K. (1996) High quality digital imaging of art in Europe. Very High Resolution and Quality Imaging SPIE, 69-75.
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In the past decade various museums and galleries around Europe have been developing digital imaging as a tool for archiving and analysis. Accurate digital images can replace the conventional film archives which are not stable or accurate but are the standard record of art. The digital archives open up new research possibilities as well as becoming resources for CD-ROM production, damage analysis, research and publishing. In the VASARI project new scanners were devised to produce colorimetric images directly from paintings using multispectral (six band) imaging. These can produce images in CIE Lab format with resolutions over 10kx10k and have been installed in London, Munich and Florence. They are based around a large stepper-motor controlled scanner moving a high resolution CCD camera to obtain patches of 3kx2k pels which are mosaiced together. The scanners can also be used for infra-red imaging with a different camera. The MARC project produced a portable scan-back, RGB camera capable of similar output and techniques for calibrated printing. The Narcisse project produced a fast high resolution scanner for X-radiographs and film and many projects have worked on networking the growing number of image databases. This paper will present a survey of some key European projects, particularly those funded by the European Union, involved in high resolution and colorimetric imaging of Art. The design of the new scanners and examples of the applications of these images will be presented.
|Item Type:||Conference or Workshop Item (UNSPECIFIED)|
|Additional Information:||Address: Washington|
|Divisions:||Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Web & Internet Science
|Date Deposited:||11 Nov 1999|
|Last Modified:||27 Mar 2014 19:53|
|Further Information:||Google Scholar|
|ISI Citation Count:||4|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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