Wavelet-based image registration

Christopher Paulson; Soundararajan Ezekiel; Dapeng Wu

doi:10.1117/12.851210

15 April 2010 Wavelet-based image registration

Christopher Paulson, Soundararajan Ezekiel, Dapeng Wu

Proceedings Volume 7704, Evolutionary and Bio-Inspired Computation: Theory and Applications IV; 77040M (2010) https://doi.org/10.1117/12.851210
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

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.

Citation Download Citation

Christopher Paulson, Soundararajan Ezekiel, and Dapeng Wu "Wavelet-based image registration", Proc. SPIE 7704, Evolutionary and Bio-Inspired Computation: Theory and Applications IV, 77040M (15 April 2010); https://doi.org/10.1117/12.851210

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