báo cáo hóa học:" Research Article Multispectral Acquisition of Large-Sized Pictorial Surfaces"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Multispectral Acquisition of Large-Sized Pictorial Surfaces | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2009 Article ID 793756 17 pages doi 2009 793756 Research Article Multispectral Acquisition of Large-Sized Pictorial Surfaces Anna Paviotti 1 Filippo Ratti 1 2 Luca Poletto 1 2 and Guido Maria Cortelazzo1 department of Information Engineering University of Padova Via Gradenigo 6 B 35131 Padova Italy 2 CNR-INFM Laboratory for UV and X-Ray Optical Research Via Gradenigo 6 B 35131 Padova Italy Correspondence should be addressed to Anna Paviotti Received 1 February 2009 Accepted 15 September 2009 Recommended by Anna Tonazzini Multispectral acquisition of artworks has recently received considerable attention in the image processing community. Quite understandably so far this attention has mainly focused on paintings given their predominant role in museum collections. It is worth pointing out that the instrumentation and procedures used for acquiring regular paintings are not suited for the multispectral acquisition of large-sized painted surfaces such as frescoed halls and great paintings. Given the relevance of such artifacts and their widespread presence in churches or historical buildings due to their social function the problem of finding suitable techniques for their acquisition is certainly worth addressing. This paper focuses on multispectral acquisition of largesized pictorial surfaces systematically addressing the practical issues related to the acquisition equipment and procedure. Given the crucial role played by the illumination in this application special attention is given to this issue. The proposed approach is supported by experimental results. Copyright 2009 Anna Paviotti et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. Introduction In the recent years the acquisition of .

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