Optimized Still Image Batch Processing of Special Collections Bound Monographs and Manuscripts Using DNG, JPEG 2000, and Embedded XMP Metadata

Authors

Michael J. Bennett, University of Connecticut - StorrsFollow

Document Type

Conference Proceeding

Disciplines

Data Storage Systems | Library and Information Science

Abstract

Batch still image processing is examined in the context of operational bound monographs and manuscripts reformatting. The scaling of overall workflows through the flexible use of Lightroom, Photoshop, VueScan, and Jhove on parametrically-edited raw DNG and batch-rendered JPEG 2000 files is surveyed. Potential gains in processing efficiency, in comprehensive device data capture and preservation, in adaptable master image repurposing capabilities, and in the smoother growth of the required large-scale digital storage capacities that surround such operational conversions are considered.

Comments

From The Society for Imaging Science and Technology Archiving 2012 Final Program and Proceedings. A presentation based upon this final report made by the author on June 15, 2012 at the Society of Imaging Science and Technology's Archiving 2012 Conference, Copenhagen, DK may be found at http://digitalcommons.uconn.edu/libr_pres/39

Recommended Citation

Bennett, Michael J., "Optimized Still Image Batch Processing of Special Collections Bound Monographs and Manuscripts Using DNG, JPEG 2000, and Embedded XMP Metadata" (2012). Published Works. 43.
https://digitalcommons.lib.uconn.edu/libr_pubs/43