Paper
9 October 2003 Research of the Image Processing and Communications Lab. of the University of Florence in the cultural heritage field
Franco Bartolini, Mauro Barni, Roberto Caldelli, Massimiliano Corsini, Vito Cappellini, Alessia De Rosa, Andrea Del Mastio, Alessandro Piva, Alessandro Nozzoli
Author Affiliations +
Abstract
The goal of this paper is to present the research that has been carried out over the last 10 years in the Image Processing and Communications Lab of the University of Florence for developing applications for the cultural heritage field. In particular research has focused on the following issues: high resolution acquisition of paintings by means of mosaicing techniques, colour calibration of the acquisition devices, tools for forecasting the results of restoration processes (in particular with reference to the cleaning process), systems for producing virtually restored digital copies of paintings (in particular for filling in cracks and lacunas). The problems related to the distribution of the digital copies have also been considered, in particular with reference to the watermarking of the images for copyright protection. The methodologies developed by the Lab with reference to the above mentioned issues will be described, and the main results discussed.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Franco Bartolini, Mauro Barni, Roberto Caldelli, Massimiliano Corsini, Vito Cappellini, Alessia De Rosa, Andrea Del Mastio, Alessandro Piva, and Alessandro Nozzoli "Research of the Image Processing and Communications Lab. of the University of Florence in the cultural heritage field", Proc. SPIE 5146, Optical Metrology for Arts and Multimedia, (9 October 2003); https://doi.org/10.1117/12.504620
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Digital watermarking

Image processing

Calibration

Cultural heritage

CRTs

RGB color model

Digital imaging

Back to Top