Abstract
In digital preservation, a common approach for preservation actions is the migration to standardized formats. Full validation of the results of such conversion processes is required to ensure authenticity and trust. This process of quality assurance is a key obstacle to achieving scalability for large volumes of content. In this article, we address the quality assurance process for the preservation of born-digital photographs and validate conversions of raw image formats into standard formats such as Adobe Digital Negative. To achieve this, we rely on a systematic planning framework. We classify requirements that have to be evaluated according to their measurement needs. We extend an existing measurement framework using a combination of tools, image similarity algorithms, and purpose-built plugins. By combining metadata extraction, image rendering and comparison, and perceptual-level quality assurance, we evaluate the feasibility of automating the core part of quality assurance that is often the most costly part of preservation processes.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Digital negative (DNG) specification. version 1.3.0.0. Technical report, Adobe Systems Incorporated (June 2009)
Becker, C., Kulovits, H., Guttenbrunner, M., Strodl, S., Rauber, A., Hofman, H.: Systematic planning for digital preservation: Evaluating potential strategies and building preservation plans. IJDLÂ 10(4) (December 2009)
Becker, C., Rauber, A.: Decision criteria in digital preservation: What to measure and how. JASISTÂ 62(6) (2011)
Bennett, M.J., Wheeler, F.B.: Raw as archival still image format: A consideration. In: Haag, D. (ed.) Archiving 2010, pp. 185–193. Society for Imaging Science and Technology, The Netherlands (2010)
Fraser, B., Schewe, J.: Real World Camera Raw with Adobe Photoshops CS4. Peachpit Press, Berkeley (2009)
Grace, S., Knight, G., Montague, L.: InSPECT Final Report. InSPECT (December 2009), http://www.significantproperties.org.uk/inspect-finalreport.pdf
Kerr, D.A.: The canon sraw and mraw output formats. The Pumpkin (1.1) (March 2010)
Kulovits, H., Rauber, A., Brantl, M., Schoger, A., Beinert, T., Kugler, A.: From TIFF to JPEG2000? Preservation planning at the Bavarian State Library using a collection of digitized 16th century printings. D-Lib Magazine 15(11/12) (2009)
Okarma, K.: Colour image quality assessment using structural similarity index and singular value decomposition. In: Bolc, L., Kulikowski, J.L., Wojciechowski, K. (eds.) ICCVG 2008. LNCS, vol. 5337, pp. 55–65. Springer, Heidelberg (2009)
van der Knijff, J.: JPEG 2000 for long-term preservation: JP2 as a preservation format. D-Lib Magazine 17(5/6) (2011)
Wang, Z., Bovik, A.C.: Mean squared error: love it or leave it? - a new look at signal fidelity measures. IEEE Signal Processing Mag. 26(1), 98–117 (2009)
Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: From error visibility to structural similarity. IEEE TIP 13(4), 600–612 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bauer, S., Becker, C. (2011). Automated Preservation: The Case of Digital Raw Photographs. In: Xing, C., Crestani, F., Rauber, A. (eds) Digital Libraries: For Cultural Heritage, Knowledge Dissemination, and Future Creation. ICADL 2011. Lecture Notes in Computer Science, vol 7008. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24826-9_9
Download citation
DOI: https://doi.org/10.1007/978-3-642-24826-9_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24825-2
Online ISBN: 978-3-642-24826-9
eBook Packages: Computer ScienceComputer Science (R0)