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Title: Designing and evaluating an expert system for restoring damaged byzantine icons
Authors: Maronidis, Anastasios 
Voutounos, Chrysanthos 
Lanitis, Andreas 
Keywords: Damage detection;Expert system;Icon restoration;Shape restoration;Statistical appearance models;Texture restoration
Category: Arts
Field: Humanities
Issue Date: 20-Jun-2014
Publisher: Kluwer Academic Publishers
Source: Multimedia Tools and Applications, 2014, Volume 74, Issue 21, Pages 9747-9770
metadata.dc.doi: 10.1007/s11042-014-2149-1
Abstract: The use of image processing techniques in cultural heritage applications has been gaining increasing interest in the research community. In this paper, an integrated framework that can be used for virtual restoration of the facial region of damaged Byzantine icons is presented. A key aspect of the proposed methodology is the integration of practices adopted by expert icon restorers into a machine-based expert system that incorporates the modules of damage detection, shape and texture restoration. Damage detection is performed based on a residual-based approach, while the shape restoration method utilizes a 3D shape model generated by incorporating a set of geometrical rules defined by expert Byzantine style iconographers. Texture restoration is based on the recursive Principal Component Analysis (PCA) technique so that combinations of colors learned from a training set are applied to the damaged icon regions. All modules, developed as part of this framework, are incorporated into a user-friendly application that can be used by amateurs or professional Byzantine icon restorers and conservators. The potential of the developed tool has been validated through a quantitative experimental process and a user-based evaluation.
ISSN: 13807501
Rights: © 2014, Springer Science+Business Media New York
Type: Article
Appears in Collections:Άρθρα/Articles

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