dc.contributor.author | Rosario, Hector | |
dc.contributor.author | Saber, Eli | |
dc.contributor.author | Wu, Wencheng | |
dc.contributor.author | Chandu, Kartheek | |
dc.date.accessioned | 2009-04-08T14:52:58Z | |
dc.date.available | 2009-04-08T14:52:58Z | |
dc.date.issued | 2007-12-06 | |
dc.identifier.citation | Journal of Electronic Imaging 16(4),(Oct–Dec 2007) | |
dc.identifier.issn | 1017-9909 | |
dc.identifier.uri | http://hdl.handle.net/1850/8923 | |
dc.description | RIT community members may access full-text via RIT Libraries licensed databases: http://library.rit.edu/databases/ | |
dc.description.abstract | We describe a method for automatically detecting
streaks in printed images using adaptive window-based image projections
and mutual information. The proposed approach accepts a
scanned image enclosing the defect and computes the projections
across the entire image at different window sizes. The resulting
traces collected from the projections are analyzed with a peak detection
algorithm and subsequently correlated using normalized mutual
information to pinpoint the location and width of streak(s). Finally,
for a given peak, the window size is changed adaptively to
identify and locate the intensity and length of the corresponding
streak(s) while maximizing the signal-to-noise ratio. Results on synthetic
and real-life images are provided to demonstrate the effectiveness
of our proposed technique. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | SPIE | en_US |
dc.relation.ispartofseries | Vol. 16 | en_US |
dc.relation.ispartofseries | No. 4 | en_US |
dc.subject | Adaptive image proessing | en_US |
dc.subject | Peak detection algorithm | en_US |
dc.subject | Printed images | en_US |
dc.subject | Streaks | en_US |
dc.title | Streak detection in mottled and noisy images | en_US |
dc.type | Article | en_US |
dc.identifier.url | http://dx.doi.org/10.1117/1.2816444 | |