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.

Image restoration via human perception and Lie groups / Bruni, Vittoria; Rossi, E.; Vitulano, D.. - STAMPA. - 1:(2012), pp. 66-74. (Intervento presentato al convegno International Conference on Computer Vision Theory and Applications, VISAPP 2012 tenutosi a Rome nel 24 February 2012 through 26 February 2012) [10.5220/0003860600660074].

Image restoration via human perception and Lie groups

BRUNI, VITTORIA;D. Vitulano
2012

Abstract

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.
2012
International Conference on Computer Vision Theory and Applications, VISAPP 2012
lie groups of transformations; semi-transparent blotches; visual contrast measures; lie group transformations; image restoration
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Image restoration via human perception and Lie groups / Bruni, Vittoria; Rossi, E.; Vitulano, D.. - STAMPA. - 1:(2012), pp. 66-74. (Intervento presentato al convegno International Conference on Computer Vision Theory and Applications, VISAPP 2012 tenutosi a Rome nel 24 February 2012 through 26 February 2012) [10.5220/0003860600660074].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/460245
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