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Volume: 9 | Article ID: art00057
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Optimized Still Image Batch Processing of Special Collections Bound Monographs and Manuscripts Using DNG, JPEG 2000, and Embedded XMP Metadata
Michael J. Bennett
  DOI :  10.2352/issn.2168-3204.2012.9.1.art00057  Published Online :  January 2012
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 parametricallyedited 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.

Journal Title : Archiving Conference
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
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 DOI 10.2352/issn.2168-3204.2012.9.1.art00057
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Michael J. Bennett, "Optimized Still Image Batch Processing of Special Collections Bound Monographs and Manuscripts Using DNG, JPEG 2000, and Embedded XMP Metadata"  in Proc. IS&T Archiving 2012,  2012,  pp 260 - 263,  https://doi.org/10.2352/issn.2168-3204.2012.9.1.art00057

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Copyright © Society for Imaging Science and Technology 2012
72010361
Archiving Conference
archiving
2161-8798
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA
2161-8798(20120101)2012:1L.260;1-
ac_v2012n1/splitsection57.xml
/ist/ac/2012/00002012/00000001/art00057
Articles
Optimized Still Image Batch Processing of Special Collections Bound Monographs and Manuscripts Using DNG, JPEG 2000, and Embedded XMP Metadata
BennettMichael J.
01012012
2012
1
260
263
2012
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 parametricallyedited 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.