IMAGE RESTORATION VIA HUMAN PERCEPTION AND LIE GROUPS
Vittoria Bruni, Elisa Rossi, Domenico Vitulano · 2012
This paper presents a novel and user's independent model for image restoration based on Lie group transformations. They allow to define a redundant set of transformations from which automatically select the ones that better invert the physical formation of the defect. Hence restoration consists of gradually reducing the visual perception of the defect. Extensive experimental results on original photographs, from Alinari Archive, affected by semi-transparent blotches show the potential of the proposed approach in removing degradation in different contexts without altering the original content of artworks.