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SMPTE Motion Imaging Journal ( Volume: 123, Issue: 1, 2014)
[ACTIVE]

Practical Quality Assessment for Digitized Film Content

Metadata

Publisher
SMPTE — White Plains, NY, USA
Doc Type
Journal Article
Content Type
Original Research
Abbreviated Title
SMPTE Mot. Imag. J
Volume
123, No. 1, pp. 20–26
Abstract
The European research project CineXPRES is focusing on improving the digitization, preservation, and restoration workflows for old film content. A central topic in this project is an attempt to define a practical quality assessment for digitized film content. The authors believe that there is no absolute measure of quality, but instead only measures dedicated to specific decision processes. To this end, three image quality estimators are defined, providing efficient tools in various situations that every archivist will have to face in the future: a multidimensional objective quality measure consisting of a collection of degradation estimators, a conditional subjective quality estimator taking the display into account, and a conditional objective quality estimator considering the ease of restoring content. This paper describes the computation of these estimators and reviews a few practical situations in which they provide answers to complex decision-making situations.
Publication Date
2014-01-01
DOI
10.5594/j18368XY
ISSN
Print: 1545-0279
Link
https://doi.org/10.5594/j18368XY
Author(s)
Francois Helt
bio
François Helt has 30 years of experience in professional video and film, designing image processing software for audiovisual applications. He has been the research and development manager of teams dedicated to special effects software, including film scanners and film printers' drivers since 1991. Helt served as technical manager of the European project “Limelight,” aimed at the design of a complete digital film restoration system from 1994 to 1997. He is also founder and chief executive officer of DUST, a company specializing in digital restoration and processing of film from 1997 to 2002. — Helt designed the color conversion and calibration software for digital cinema from 2004 to 2006 as well as projection measurement systems. He is chief scientific officer of Highlands Technologies Solutions and its current interest include visual perception models and measurement theory.
Valerie La Torre
bio
Valérie La Torre taught mathematics and physics in various high schools for six years, before joining Doremi Technologies in 2010. In January 2013, she joined the research and development department of Highlands Technologies Solutions. La Torre taught signal processing classes at Polytech' Sophia and conducted research in artificial intelligence at the CNRS from 1994 to 1997. From 1997 to 2002, she was employed at DUST. Her current research interests are in digital restoration and preservation. She is research and development deputy manager at Highlands Technologies Solutions.
Copyright
© 2014 Society of Motion Picture and Television Engineers, Inc.

Bibliographic Reference(s)

  • 1. Helt F. , “Matching the Human Visual System, Balancing Bit Depth, High Dynamic Range and Coding Efficiency,” Presented at the SMPTE 2011 Annual Technical Conference, Los Angeles, CA , October 2011 . EXTERNAL
  • 2. Helt F. , “Quality Metrics in Long-Term Preservation and Restoration Paradigms,” Presented at the SMPTE 2010 Annual Technical Conference, Hollywood, CA , October 2010 . EXTERNAL
  • 3. Wang Z. and Bovik A. C. , “Mean Squared Error: Love It or Leave It—A New Look at Signal Fidelity Measures,” IEEE Signal Process. Mag. , 26 : 98 – 117 , 2009 . EXTERNAL
  • 4. Buades A. , “Image and Film Denoising by Non-local Means,” Ph.D. dissertation, Universitat de les Illes Balears , 2006 . EXTERNAL
  • 5. Liang L. , Wang S. , Chen J. , Ma S. , Zhao D. , Gao W. ., “No-Reference Perceptual Image Quality Metric Using Gradient Profiles for JPEG 2000,” Signal Process. Image Comm. , 25 : 502 – 516 , 2010 . EXTERNAL
  • 6. Kokaram A. , Motion Picture Restoration , Springer : London, U.K. , 1998 . EXTERNAL
  • 7. Delon J. and Desolneux A. , “Papillonnage et Mathématique des Images,” Images des Mathématiques, Le Centre National de la Recherche Scientifique , France , http://images.math.cnrs.fr/Papillonnage-et-mathematiques-des.html , 2011 . EXTERNAL
  • 8. Burt P. J. and Adelson E. H. , “The Laplacian Pyramid as a Compact Image,” IEEE Trans. Commun. , 31 ( 4 ): 532 – 540 , 1983 . EXTERNAL
  • 9. Pearl J. , Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference , Morgan Kaufmann : San Francisco, CA , 1988 . EXTERNAL
  • 10. Lauritzen L. S. and Spiegelhalter J. D. , “Local Computations With Probabilities on Graphical Structures and Their Application to Expert Systems,” J. Roy. Stat. Soc. B Stat. Meth. , 50 : 157 – 224 , 1988 . EXTERNAL
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Francois Helt and Valerie La Torre; Practical Quality Assessment for Digitized Film Content, SMPTE Motion Imaging Journal ( Volume: 123, Issue: 1, 2014); SMPTE, 2014. Available at https://doi.org/10.5594/j18368XY
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Francois Helt and Valerie La Torre; Practical Quality Assessment for Digitized Film Content, SMPTE Motion Imaging Journal ( Volume: 123, Issue: 1, 2014); SMPTE, 2014. Available at https://doi.org/10.5594/j18368XY

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Francois Helt and Valerie La Torre; Practical Quality Assessment for Digitized Film Content, SMPTE Motion Imaging Journal ( Volume: 123, Issue: 1, 2014); SMPTE, 2014. Available at https://doi.org/10.5594/j18368XY
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<span class="citation">Francois Helt and Valerie La Torre; <cite>Practical Quality Assessment for Digitized Film Content</cite>, SMPTE Motion Imaging Journal ( Volume: 123, Issue: 1, 2014); SMPTE, 2014. Available at <a href="https://doi.org/10.5594/j18368XY" target="_blank" rel="noopener">https://doi.org/10.5594/j18368XY</a></span>

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Francois Helt and Valerie La Torre; Practical Quality Assessment for Digitized Film Content, SMPTE Motion Imaging Journal ( Volume: 123, Issue: 1, 2014); SMPTE, 2014
doi: 10.5594/j18368XY
url: https://doi.org/10.5594/j18368XY
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Francois Helt and Valerie La Torre; <cite id="bib-10-5594-j18368xy">Practical Quality Assessment for Digitized Film Content</cite>, SMPTE Motion Imaging Journal ( Volume: 123, Issue: 1, 2014); SMPTE, 2014
<span class="doi">10.5594/j18368XY</span>
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