Image segmentation and region filling for virtual restoration of artworks

Progress in electronic imaging over the last years has encouraged the development of new tools for cultural heritage applications. In particular, the areas of painting preservation and restoration have attracted the interest of researchers working in the field of image processing. A virtual tool for painting restoration, which simulates the actual restoration carried out in the restoration laboratory, is presented; in particular, the proposed techniques allow the virtual recovery and filling of the areas of a painting which are damaged by lacunas.