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Proceedings Paper

Wavelet-based image registration
Author(s): Christopher Paulson; Soundararajan Ezekiel; Dapeng Wu
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Paper Abstract

Image registration is a fundamental enabling technology in computer vision. Developing an accurate image registration algorithm will significantly improve the techniques for computer vision problems such as tracking, fusion, change detection, autonomous navigation. In this paper, our goal is to develop an algorithm that is robust, automatic, can perform multi-modality registration, reduces the Root Mean Square Error (RMSE) below 4, increases the Peak Signal to Noise Ratio (PSNR) above 34, and uses the wavelet transformation. The preliminary results show that the algorithm is able to achieve a PSNR of approximately 36.7 and RMSE of approximately 3.7. This paper provides a comprehensive discussion of wavelet-based registration algorithm for Remote Sensing applications.

Paper Details

Date Published: 15 April 2010
PDF: 12 pages
Proc. SPIE 7704, Evolutionary and Bio-Inspired Computation: Theory and Applications IV, 77040M (15 April 2010); doi: 10.1117/12.851210
Show Author Affiliations
Christopher Paulson, Univ. of Florida (United States)
Soundararajan Ezekiel, Indiana Univ. of Pennsylvania (United States)
Dapeng Wu, Univ. of Florida (United States)

Published in SPIE Proceedings Vol. 7704:
Evolutionary and Bio-Inspired Computation: Theory and Applications IV
Teresa H. O'Donnell; Misty Blowers; Kevin L. Priddy, Editor(s)

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