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231223s2006 xx ||||| 00| ||eng c |
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|e rakwb
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|a eng
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|a Caner, Gulcin
|e verfasserin
|4 aut
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|a Local image registration by adaptive filtering
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|c 2006
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|a Text
|b txt
|2 rdacontent
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|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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|a Band
|b nc
|2 rdacarrier
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| 500 |
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|a Date Completed 20.11.2006
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|a Date Revised 26.10.2019
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|a published: Print
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|a Citation Status MEDLINE
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|a We propose a new adaptive filtering framework for local image registration, which compensates for the effect of local distortions/displacements without explicitly estimating a distortion/displacement field. To this effect, we formulate local image registration as a two-dimensional (2-D) system identification problem with spatially varying system parameters. We utilize a 2-D adaptive filtering framework to identify the locally varying system parameters, where a new block adaptive filtering scheme is introduced. We discuss the conditions under which the adaptive filter coefficients conform to a local displacement vector at each pixel. Experimental results demonstrate that the proposed 2-D adaptive filtering framework is very successful in modeling and compensation of both local distortions, such as Stirmark attacks, and local motion, such as in the presence of a parallax field. In particular, we show that the proposed method can provide image registration to: a) enable reliable detection of watermarks following a Stirmark attack in nonblind detection scenarios, b) compensate for lens distortions, and c) align multiview images with nonparametric local motion
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|a Journal Article
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|a Research Support, U.S. Gov't, Non-P.H.S.
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|a Tekalp, A Murat
|e verfasserin
|4 aut
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| 700 |
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|a Sharma, Gaurav
|e verfasserin
|4 aut
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| 700 |
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|a Heinzelman, Wendi
|e verfasserin
|4 aut
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 15(2006), 10 vom: 08. Okt., Seite 3053-65
|w (DE-627)NLM09821456X
|x 1941-0042
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|g volume:15
|g year:2006
|g number:10
|g day:08
|g month:10
|g pages:3053-65
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|d 15
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|h 3053-65
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