API Build-data JSON Resources
Theme

Choose how MSRBot.io looks on this device.

Preference is stored in this browser only.

SMPTE Meetings and Conferences ( October 2012)
[ACTIVE]

Computational Photography for Dust and Scratch Detection on Transparent Photographic Material

Metadata

Publisher
SMPTE — White Plains, NY
Doc Type
Conference Paper
Content Type
Original Research
Volume
2012, No. 10, pp. 1–8
Abstract
This work pertains the digital restoration of motion-picture films. A new method for the automatic detection of blemishes on any kind of transparent photographic material (still and moving images, silver-based and dye-based material) is presented. It consists in an innovative combination of different optical techniques and computational photography. The image layer is a random dispersion of microscopic elements (e.g. silver particles in b&w material) and its interaction with light is isotropic. Dust, scratches and other irregularities of the film surface produce shadows and reflections that are strongly dependent on the provenance of light. The acquisition of multiple images with different geometries of illumination, and the analysis of the differences between them, is found to be an effective method to emphasize irregularities in the film surface. Moreover, the analysis with polarized light is found to improve the blemish detection. The experiments show that the innovative method effectively detects flaws on photographic film surface.
Publication Date
2012-10-01
DOI
10.5594/M001457
Link
https://doi.org/10.5594/M001457
Author(s)
Giorgio TrumpyImaging & Media Lab, Bernoullistrasse 32 - Basel CH-4056
Rudolf GschwindImaging & Media Lab, Bernoullistrasse 32 - Basel CH-4056
Copyright
© 2012 Society of Motion Picture and Television Engineers, Inc.

Bibliographic Reference(s)

  • 1. Buisson O. Boukir S. Besserer B. , “Motion compensated film restoration,” Machine Vision and Applications , 13 : 201 – 212 , 2003 . EXTERNAL
  • 2. Albert E.D. , U.S. Patent No.5 266 805, Nov. 30, 1993 . EXTERNAL
  • 3. Mead T. W. , U.S. Patent No.8 009 190, Aug. 30, 2011 . EXTERNAL
  • 4. Zelenka T. , Deutsches Patent und Markenamt No.101 37 340, Feb. 20, 2003 . EXTERNAL
  • 5. Bicout D. , “Depolarization of multiply scattered waves by spherical diffusers: Influence of the size parameter,” Phys. Rev. E , 49 : 1767 – 1770 , February 1994 . EXTERNAL
Source Data (JSON)

Full registry record with provenance metadata. Open directly: /api/doc/10.5594-M001457.json

Reference Tree

Explore all references and references to this document, as a navigable tree.

Open Reference Tree
Reference this Doc

Plain text (ISO 690 compliant)

Preview:
Giorgio Trumpy and Rudolf Gschwind; Computational Photography for Dust and Scratch Detection on Transparent Photographic Material, SMPTE Meetings and Conferences ( October 2012); SMPTE, 2012. Available at https://doi.org/10.5594/M001457
Snippet:
Giorgio Trumpy and Rudolf Gschwind; Computational Photography for Dust and Scratch Detection on Transparent Photographic Material, SMPTE Meetings and Conferences ( October 2012); SMPTE, 2012. Available at https://doi.org/10.5594/M001457

HTML (ISO 690 compliant)

Preview:
Giorgio Trumpy and Rudolf Gschwind; Computational Photography for Dust and Scratch Detection on Transparent Photographic Material, SMPTE Meetings and Conferences ( October 2012); SMPTE, 2012. Available at https://doi.org/10.5594/M001457
Snippet:
<span class="citation">Giorgio Trumpy and Rudolf Gschwind; <cite>Computational Photography for Dust and Scratch Detection on Transparent Photographic Material</cite>, SMPTE Meetings and Conferences ( October 2012); SMPTE, 2012. Available at <a href="https://doi.org/10.5594/M001457" target="_blank" rel="noopener">https://doi.org/10.5594/M001457</a></span>

SMPTE Icon SMPTE's HTML Pub

Preview:
Giorgio Trumpy and Rudolf Gschwind; Computational Photography for Dust and Scratch Detection on Transparent Photographic Material, SMPTE Meetings and Conferences ( October 2012); SMPTE, 2012
doi: 10.5594/M001457
url: https://doi.org/10.5594/M001457
Snippet:
<li>
Giorgio Trumpy and Rudolf Gschwind; <cite id="bib-10-5594-m001457">Computational Photography for Dust and Scratch Detection on Transparent Photographic Material</cite>, SMPTE Meetings and Conferences ( October 2012); SMPTE, 2012
<span class="doi">10.5594/M001457</span>
</li>