Computational Photography for Dust and Scratch Detection on Transparent Photographic Material

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Publisher: SMPTE
Doc Type: Journal Article
Article Type: orig-research
Abstract: This article pertains to 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, etc.) is presented. It consists of 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 black-and-white material), and its interaction with light is isotropic. Dust, scratches, and other irregularities of the film surface produce shadows and reflections that depend strongly on the provenance of light. The acquisition of multiple images with different geometries of illumination, and the analysis of the differences among 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 surfaces.
Publication Date: 2014-04-01
DOI: 10.5594/j18399XY
Link: https://doi.org/10.5594/j18399XY
Author(s): Giorgio Trumpy, Rudolf Gschwind

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Giorgio Trumpy and Rudolf Gschwind; Computational Photography for Dust and Scratch Detection on Transparent Photographic Material, SMPTE Motion Imaging Journal ( Volume: 123, Issue: 3, April 2014); SMPTE, 2014. Available at https://doi.org/10.5594/j18399XY

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Giorgio Trumpy and Rudolf Gschwind; Computational Photography for Dust and Scratch Detection on Transparent Photographic Material, SMPTE Motion Imaging Journal ( Volume: 123, Issue: 3, April 2014); SMPTE, 2014. Available at https://doi.org/10.5594/j18399XY

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<span class="citation">Giorgio Trumpy and Rudolf Gschwind; <cite>Computational Photography for Dust and Scratch Detection on Transparent Photographic Material</cite>, SMPTE Motion Imaging Journal ( Volume: 123, Issue: 3, April 2014); SMPTE, 2014. Available at <a href="https://doi.org/10.5594/j18399XY" target="_blank" rel="noopener">https://doi.org/10.5594/j18399XY</a></span>

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Giorgio Trumpy and Rudolf Gschwind; <cite id="bib-10-5594-j18399xy">Computational Photography for Dust and Scratch Detection on Transparent Photographic Material</cite>, SMPTE Motion Imaging Journal ( Volume: 123, Issue: 3, April 2014); SMPTE, 2014
<span class="doi">10.5594/j18399XY</span>
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