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Proceedings Paper

Dust and scratch removal in scanned images
Author(s): Ruth Bergman; Hila Nachlieli; Gitit Ruckenstein; Darryl Greig
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Paper Abstract

Dust, scratches or hair on originals (prints, slides or negatives) distinctly appear as light or dark artifacts on a scan. These unsightly artifacts have become a major consumer concern. This paper describes an algorithmic solution to the dust and scratch removal task. The solution is divided into two phases: a detection phase and a reconstruction phase. Some scanners have dedicated hardware to detect dust and scratch areas in the original. Without hardware assistance, dust and scratch removal algorithms generally resort to blurring, at the loss of image detail. We present an algorithmic alternative for dust and scratch detection that effectively differentiates between defects and image details. In addition we present reconstruction algorithms, that preserve image sharpness better than available alternatives. For detection we generate a detail-less image in which the defects are "erased". We compare properties of the luminance channel of the input image relative to the detailless image. For reconstruction of the defective areas we suggest both a fast small support algorithm and a large support algorithm, which is better able to mimic the existing image texture.

Paper Details

Date Published: 27 February 2007
PDF: 12 pages
Proc. SPIE 6497, Image Processing: Algorithms and Systems V, 649709 (27 February 2007); doi: 10.1117/12.703403
Show Author Affiliations
Ruth Bergman, Hewlett-Packard Labs. (Israel)
Hila Nachlieli, Hewlett-Packard Labs. (Israel)
Gitit Ruckenstein, Hewlett-Packard Labs. (Israel)
Darryl Greig, Hewlett-Packard Labs. (United Kingdom)

Published in SPIE Proceedings Vol. 6497:
Image Processing: Algorithms and Systems V
Jaakko T. Astola; Karen O. Egiazarian; Edward R. Dougherty, Editor(s)

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