Defect detection and restoration of heritage images
Journal Title: Acta Technica Napocensis- Electronica-Telecomunicatii (Electronics and Telecommunications) - Year 2011, Vol 52, Issue 4
Abstract
One of the major problems of the old artworks is their degradation due to aging. As a result, the digitized artworks images exhibit a series of defects. Whereas scientific methods were applied to the analysis and restoration of the priceless artworks for many decades, over recent years there has been an encouragement for the development of virtual artworks restoration tools, many of them using image processing techniques. In this paper we present a series of tools for defect detection and virtual restoration of digitized artwork images, and illustrate their application of digitized wood paintings. These tools are integrated in user-friendly semi-automatic software applications. The novel algorithms proposed and integrated in our virtual artwork restoration application include: a machine learning based small defect detection, combined with the vector median filter for the small defects removal; a fuzzy image inpainting method for large defect removal (assuming the defect area was manually selected). The results achieved with the proposed software application are presented, for some wood painted icons, showing the good performance of the proposed solution and its suitability for virtual restoration of some digitized artworks
Authors and Affiliations
Mihaela CISLARIU, Aurel VLAICU, Camelia FLOREA, Silvia CIUNGU SUTEU
Keywords
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