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Paper data
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Title:
A new efficient cross-correlation based image registration technique with imporved performance

Author(s):
Berberidis Kostas, Dept. of Computer Engineering & Informatics, University of Patras, 26500 Rio-Patras, Greece
Karybali Irene, Dept. of Computer Engineering & Informatics, University of Patras, 26500 Rio-Patras, Greece

Page numbers in the proceedings:
Volume I pp 13-16

Session:
Image Processing: From Acquisition to Interpretation

Paper abstract
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In many applications the image registration task turns out to be a fundamental prerequisite for any further processing and analysis. In the proposed paper a new efficient technique is presented, appropriate for registering images which are translated and rotated versions of a reference image. The technique consists of two main parts: an efficiently implemented prewhitening part, and an iterative part which yields the unknown displacements after a few iterations. The cross-correlation operations involved in the iterative part are performed efficiently via a new scheme based on a proper partitioning of the images and the use of the FFT. Note that this efficient scheme is also applicable to the conventional spatial cross-correlation method. The new registration technique exhibits a superior performance as compared to the conventional cross-correlation method.

Paper
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A PDF version is available here

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