Comprehensive solutions for automatic removal of dust and scratches from images

1 January 2008 Comprehensive solutions for automatic removal of dust and scratches from images

Ruth Bergman, Ron Maurer, Hila Nachlieli, Gitit Ruckenstein, Patrick Chase, Darryl Greig

Author Affiliations +

Journal of Electronic Imaging, Vol. 17, Issue 1, 013010 (January 2008). https://doi.org/10.1117/1.2899845

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)

Citation Download Citation

Ruth Bergman, Ron Maurer, Hila Nachlieli, Gitit Ruckenstein, Patrick Chase, and 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

Published: 1 January 2008

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE