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Dust BW: Detection of dust and scratches on photographic silverhalide (black/white) material by polarized darkfield illumination

English title Dust BW: Detection of dust and scratches on photographic silverhalide (black/white) material by polarized darkfield illumination
Applicant Gschwind Rudolf
Number 130261
Funding scheme Project funding (Div. I-III)
Research institution Digital Humanities Lab Philosophisch-Historische Fakultät Universität Basel
Institution of higher education University of Basel - BS
Main discipline Information Technology
Start/End 01.09.2010 - 31.08.2013
Approved amount 322'080.00
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All Disciplines (4)

Discipline
Information Technology
Physical Chemistry
Technical Physics
Theatre and Cinema

Keywords (5)

Movie Film Restoration; Computational Photography; Inpainting; Digital Preservation; Cultural Heritage

Lay Summary (English)

Lead
Lay summary
The goal of this project is to investigate a solution for one special problem, the elimination of dust and if necessary scratches on any kind of scanned transparent photographic material (movie, still photographs, b/w and color) by detection of dust through a new optical scanning system consisting of polarized dark field illumination. By this approach the diffracted light of the fined grain silver can be suppressed whereas the diffracted light of dust and scratches are still visible. The novelty is that the combination of these two techniques has never been done before, i.e. we use physical knowledge of light polarization, scattering, dark field illumination, emulsion composites in an innovative way to solve an old problem in photography, namely how to get rid of dust. Applying appropriate threshold techniques that combines dark field image and regular scan and image processing techniques (in-painting) to remove dust will give restored images that appear correct and natural.
Direct link to Lay Summary Last update: 21.02.2013

Responsible applicant and co-applicants

Employees

Publications

Publication
Die Sichtbar Machung der Farben des Riffelfilms: Digitale Farbrekonstruktion von Linsenrasterfilm
Reuteler Joakim Gschwind Rudolf, Die Sichtbar Machung der Farben des Riffelfilms: Digitale Farbrekonstruktion von Linsenrasterfilm, in Rundbrief Fotografie .

Scientific events

Active participation

Title Type of contribution Title of article or contribution Date Place Persons involved
IEEE International Conference on Image Processing · IEEE Signal Processing Society · 2013 Talk given at a conference Automatic detection of dust and scratches in silver halide film using polarized dark-field illumination 15.09.2013 Melbourne, Australia Gschwind Rudolf; Süsstrunk Sabine; Trumpy Giorgio;
Colour and Visual Computing Symposium. Institute of Electrical and Electronics Engineers · 2013 Talk given at a conference Multi-directional illumination for automatic flaw detection on photographic film: the importance of being many 05.09.2013 Giøvik, Norway Trumpy Giorgio;
ARRI Archive Workshop Talk given at a conference Digital Color Reconstruction of Lenticular Film: Project 'doLCE' 11.06.2013 München, Germany Gschwind Rudolf; Reuteler Joakim;
SMPTE 2012 Annual Technical Conference & Exhibition Year Talk given at a conference Computational photography for dust and scratch detection on transparent photographic material 22.10.2012 Hollywood CA, United States of America Trumpy Giorgio; Gschwind Rudolf;
8th EOS Topical Meeting on Diffractive Optics · European Optical Society · 2012 Talk given at a conference Detection of dust and scratches on photographic material by combining dark field illumination and crossed polarization 27.02.2012 Delft, Netherlands Wassmer Andreas; Trumpy Giorgio; Gschwind Rudolf;
Electronic Imaging & the Visual Arts (EVA 2012, Berlin (D) 9-11/11/2011) Talk given at a conference DUST_BW: Detection of dust and scratches on photographic silver halide material by dark field illumination and crossed polarization 09.11.2011 Berlin, Germany Gschwind Rudolf; Wassmer Andreas; Trumpy Giorgio;


Awards

Title Year
"best student paper" Award for the best student paper (multi-directional illumination for automatic flaw detection on photographic film: the importance of being many) at the "Colour and Visual Computing Symposium 2013 (CVCS 2013, Gjøvik (N) 5-6/9/2013) · Institute of Electrical and Electronics Engineers · 2013" 2013
Wissenschaftspreis der Stadt Basel "Der diesjährige Wissenschaftspreis der Stadt Basel geht an Prof. Dr. Rudolf Gschwind und PD Dr. Lukas Rosenthaler. Ausgezeichnet werden die am Digital Humanities Lab der der Universität Basel tätigen Wissenschaftler für ihre herausragenden interdisziplinären Forschungs- und Entwicklungsleistungen in der Digitalisierung, Archivierung und Vernetzung von Datenbeständen der Geisteswissenschaften." 2013
IPI Internship for Giorgio Trumpy. He and went for three months to Rochester, NY. The Image Permanence Institute (IPI), in cooperation with the Association of Moving image Archivists (AMIA), has established the Image Permanence Institute Internship in Preservation Research. 2011

Associated projects

Number Title Start Funding scheme
40448 Digitale Restaurierung und Archivierung von Photographien und Kinofilm 01.10.1994 Project funding (Div. I-III)
150306 Digitale Materialität 01.04.2014 Project funding (Div. I-III)
113146 An archive film scanner for movie film restoration and preservation 01.07.2006 R'EQUIP

Abstract

The goal of this project is to investigate a solution for one special problem, the elimination of dust and if necessary scratches on any kind of scanned transparent photographic material (movie, still photographs, b/w and color) by detection of dust through a new optical scanning system consisting of polarized dark field illumination. By this approach the diffracted light of the fined grain silver can be suppressed whereas the diffracted light of dust and scratches are still visible. The novelty is that the combination of these two techniques has never been done before, i.e. we use physical knowledge of light polarization, scattering, dark field illumination, emulsion composites in an innovative way to solve an old problem in photography, namely how to get rid of dust. Applying appropriate threshold techniques that combines dark field image and regular scan and image processing techniques (in-painting) to remove dust will give restored images that appear correct and natural.
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