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A t t d P ti Auto mate d Pre se rvatio n:
T he Case o f Digital Raw Pho to graphs
Stephan Bauer, Christoph Becker
ICADL 2011 Beijing j g
Joseph Nicéphore Niépce
A t Auto mate d Pre se rvatio n: t d P ti T he Case o f - - PowerPoint PPT Presentation
A t Auto mate d Pre se rvatio n: t d P ti T he Case o f - - PowerPoint PPT Presentation
A t Auto mate d Pre se rvatio n: t d P ti T he Case o f Digital Raw Pho to graphs Stephan Bauer, Christoph Becker ICADL 2011 Beijing j g Joseph Nicphore Nipce stallio (flickr) Why RAW digital negative digital negative most
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stallio (flickr)
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Why RAW
digital negative digital negative most authentic version of the image no lossy compression as in jpeg new tools may create better interpretations y p not an image: uninterpolated sensor data
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De ve lo ping a raw file Demosaiquing White balance adjustment White balance adjustment Colorimetric interpretation Colorimetric interpretation i Tone mapping Image enhancements
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interpretation
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Adobe r
- nverter
dcraw e DNG C Adob Apple pp
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validate migrate
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E valuatio n frame wo rk
numerous proprietary raw formats – high risk numerous proprietary raw formats high risk normalization to standardized format desirable How to evaluate and validate? preservation planning preservation planning
systematic evaluation method and tool controlled experimentation controlled experimentation automated measurements
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migrate comparison
comparison
comparison
comparison
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Auto mate d Me asure me nts
traditional quality assurance methods traditional quality assurance methods are error based common tools not reliable common tools not reliable requirements
perception based respecting ICC-profiles meaningful for color images
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equal MSE
https: / / ece.uwaterloo.ca/ ~ z70wang/ research/ ssim/ # MAD
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Signific ant Pro pe rtie s - Co nte nt
relative AE SSIM SSIM Hue relative MSE SSIM Saturation
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Signific ant Pro pe rtie s - Co nte xt
Exif (exposure) IPTC Exif (technical) Dublin Core
Metadata
Exif (location) Private Tags XMP Exif (generated) (g )
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Co ntributio n
image comparison metrics implemented image comparison metrics implemented
using Java Advanced Imaging API
metadata e ification sing E ifTool metadata verification using ExifTool comparing Adobe DNGConverter and digiKam p g g migrate and validate a representative selection
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Re sults – CRW
RAW DNG by digikam raw data are identical raw data are identical incorrect color matrix generated
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Re sults – CRW
RAW RAW DNG by digiKam
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Re sults – CR2
RAW DNG RAW DNG by ADC two embedded color matrices
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Re sults – CR2
RAW DNG by ADC
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Co nc lusio n
demonstrated fully automated QA i t t f th t t l l l th d using state of the art perceptual level method well suited to falsify: find bad conversions yet not suited to fully verify conversions SSIM allows meaningful measurements
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Outlo o k
implement workflows using taverna implement workflows using taverna run large scale tests correlation of SSIM and manual evaluation use more tools for QA Q expand approach to different types of content
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