1 January 2008 Comprehensive solutions for automatic removal of dust and scratches from images
Author Affiliations +
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. There are several scenarios for removal of dust and scratch artifacts. One scenario is during acquisition, e.g., while scanning photographic media. Another is artifact removal from a digital image in an image editor. For each scenario, a different solution is suitable, with different performance requirements and differing levels of user interaction. This work describes a comprehensive set of algorithms for automatically removing dust and scratches from images. Our algorithms solve a wide range of use scenarios. A dust and scratch removal solution has two steps: a detection step and a reconstruction step. Very good detection of dust and scratches is possible using side information, such as provided by dedicated hardware. Without hardware assistance, dust and scratch removal algorithms generally resort to blurring, thereby losing image detail. We present algorithmic alternatives for dust and scratch detection. In addition, we present reconstruction algorithms that preserve image detail better than previously available alternatives. These algorithms consistently produce visually pleasing images in extensive testing.
© (2008) Society of Photo-Optical Instrumentation Engineers (SPIE)
Ruth Bergman, Ruth Bergman, Ron Maurer, Ron Maurer, Hila Nachlieli, Hila Nachlieli, Gitit Ruckenstein, Gitit Ruckenstein, Patrick Chase, Patrick Chase, Darryl Greig, Darryl Greig, } "Comprehensive solutions for automatic removal of dust and scratches from images," Journal of Electronic Imaging 17(1), 013010 (1 January 2008). https://doi.org/10.1117/1.2899845 . Submission:
JOURNAL ARTICLE
15 PAGES


SHARE
RELATED CONTENT

ENAS-RIF algorithm for image restoration
Proceedings of SPIE (November 29 2012)
Scene-based nonuniformity correction using sparse prior
Proceedings of SPIE (December 07 2011)
Dust and scratch removal in scanned images
Proceedings of SPIE (February 26 2007)
Practical Algorithms For Phase Retrieval
Proceedings of SPIE (December 03 1984)

Back to Top