A High Precision Large Area Scanner for Ancient Painting and Calligraphy

Abstract:

It is of great significance to digitize ancient paintings and calligraphy. A typical way to acquire them is using a linear CCD based large area table scanner. But this kind of solution has great drawbacks in terms of precision as well as scanning range, which prohibit its use in museums and libraries. Our lab has recently developed a new equipment to solve these drawbacks and hopefully it would shed new light on the documentation of ancient paintings and calligraphy. This paper will discuss a feasible way to improve image sharpness in theory including the theoretical optimal aperture determination, the maximum optical resolution as well as the advantage of using large image sensor. The acquiring experiment shows the method and the scanning hardware can achieve satisfactory results.

• Periodical: Advanced Materials Research (Volume 267)
• Pages: 241-246
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.267.241
• Online since: June 2011
• Authors: Xiang Hua Chen, Xi Fan Shi
• Keywords: Cultural Heritage Conservation, Digital Photography, Image Acquisition, Image Processing

References

[1] G. M. Cortelazzo and L. Lunchese, A New Method of Image Mosaicking and Its application to Cultural Heritage Representation, Eurographics 99.

[2] Y. MIkyake, Y. Yokoyama, N. Tsumura, H. Haneishi, K. Miyata and J. Hayashi, Development of Multiband Color Imaging Systems for Recording of Art Paintings, Part of the IS&T/SPIE Conference on Color Imaging: Device-independent Color. Color Hardcopy, and Graphic Arts IV. San Jose. California (1999).

DOI: 10.1117/12.334560

[3] Xifan Shi, Dongming Lu and Changyu Diao, An Ultra Large Area Scanner for Ancient Painting and Calligraphy, in: Proc. Pacific-Rim Conference on Multimedia, (2008), pp.846-849.

DOI: 10.1007/978-3-540-89796-5_96

[4] Xifan Shi, Dongmin Lu and Changyu Diao, Blurring and Lens Distortion Free Scanning for Large Area Painting and Calligraphy, Journal of Information and Computational Science, October (2009), pp.2121-2128.

[5] Xifan Shi, Changyu Diao and Dongmin Lu, Photo Vignetting and Camera Orientation Correction for High Precision Acquisition, in: Proc. Pacific-Rim Conference on Multimedia, (2009), pp.155-166.

DOI: 10.1007/978-3-642-10467-1_13

[6] K. Martinez and A. Hamber, Towards a Colormetric Digital Image Archive for the Visual Arts, in Proceedings of the Society of Photo-Optical Instrumentation Engineers, v. 1073, January (1989).

[7] Martinez, Kirk, High Resolution Digital Imaging of Paintings: The Vasari Project, Microcomputers for Information Management 8(4) (1991), pp.277-283.

[8] Anthony Hamber, James Hemsley, VASARI, A European Approach to Exploring the Use of Very High Quality Imaging Technology to Painting Conservation and Art History Education, Hypermedia & Interactivity in Museums, Proceedings of an International Conference, (1991).

[9] K. Martinez, High Quality Digital Imaging of Art in Europe, Proceedings of SPIE vol. 2663, Very High Resolution and Quality Imaging (1996), pp.69-75.

DOI: 10.1117/12.233048

[10] Martinez, K., Cupitt, J., Saunders, D. and Pillay, R. Ten Years of Art Imaging Research. Proceedings of the IEEE, 90 (1). (2002), pp.28-41.

DOI: 10.1109/5.982403

[11] Saunders, David; Cupitt, John; White, Colin; Holt, Sarah, The MARC II Camera and the Scanning Initiative at the National Gallery, The National Gallery Technical Bulletin, Volume 23, Number 1, February (2002), pp.76-82(7).

[12] Raffaella Fontana, Maria Chiara Gambino, Marinella Greco, Luciano Marras, Enrico M. Pampaloni, Anna Pelagotti, Luca Pezzati, and Pasquale Poggi, 2D Imaging and 3D Sensing Data Acquisition and Mutual Registration for Painting Conservation Proc. SPIE, Vol. 5665, 51 (2005).

DOI: 10.1117/12.587703

[13] MacDonald, Lindsay W., A Robotic System for Digital Photography, Digital Photography II. Edited by Sampat, Nitin; DiCarlo, Jeffrey M.; Martin, Russel A. Proceedings of the SPIE, Volume 6069, (2006), pp.160-171.

DOI: 10.1117/12.642297

[14] G. Voyatzis, G. Angelopoulos, A. Bors, I. Pitas, A System for Capturing High Resolution Images, Conference on Technology and Automatics, Thessaloniki, Greece, (1998), pp.238-242.

[15] Carcagnì, P.; Della Patria, A.; Fontana, R.; Greco, M.; Mastroianni, M.; Materazzi, M.; Pampaloni, E.; Pezzati, L. Multispectral Imaging of Paintings by Optical Scanning, Optics and Lasers in Engineering, (2007), 45(3), pp.360-367.

DOI: 10.1016/j.optlaseng.2005.02.010

[16] Bartolini, Franco; Cappellini, Vito; Del Mastio, Andrea; Piva, Alessandro, Applications of Image Processing Technologies to Fine Arts, Optical Metrology for Arts and Multimedia. Edited by Salimbeni, Renzo. Proceedings of the SPIE, Volume 5146, (2003).

DOI: 10.1117/12.504630