Ammira is coordinated by TEA Sas (Catanzaro) and aims at realizing an innovative system for the treatment of multispectral digital images of documents and paintings, finalized at their virtual restoration and automatic indexation and retrieval. The project will design a multispectral acquisition device based on a high resolution CCD sensor, a FireWire interface for the real-time control of the subject to be acquired and a fast data transfer, an electromechanical system for the selection of the filters in the different spectral bands, and an autofocus system driven by a PC. The software for the management of the multispectral images will be user friendly, and oriented to exploit the complementary information contained in the different spectral bands to obtain quality enhancement, highlight the content, recover hidden or masked characteristics, and extract significant features for a more efficient indexation and retrieval. ISTIs contribution concerns the study of reliable models of degradations in ancient documents and the development of related restoration algorithms, the test of statistical techniques for the analysis of multichannel images of documents, and the correction of geometric distortions such as the page folding in documents from books.
PIA AMMIRA: Acquisizione Multispettrale, Miglioramento, Indicizzazione e Ricerca di artefatti artistici
Emanuele Salerno;Anna Tonazzini
2010
Abstract
Ammira is coordinated by TEA Sas (Catanzaro) and aims at realizing an innovative system for the treatment of multispectral digital images of documents and paintings, finalized at their virtual restoration and automatic indexation and retrieval. The project will design a multispectral acquisition device based on a high resolution CCD sensor, a FireWire interface for the real-time control of the subject to be acquired and a fast data transfer, an electromechanical system for the selection of the filters in the different spectral bands, and an autofocus system driven by a PC. The software for the management of the multispectral images will be user friendly, and oriented to exploit the complementary information contained in the different spectral bands to obtain quality enhancement, highlight the content, recover hidden or masked characteristics, and extract significant features for a more efficient indexation and retrieval. ISTIs contribution concerns the study of reliable models of degradations in ancient documents and the development of related restoration algorithms, the test of statistical techniques for the analysis of multichannel images of documents, and the correction of geometric distortions such as the page folding in documents from books.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.