3 April 2008 Advanced image registration techniques and applications
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Abstract
Accurate image registration (with subpixel accuracy) techniques are critical components for many advanced image processing systems such as the time-differencing system and the super-resolution imaging system. In this paper, several image registration methods are compared and evaluated. Performance of registration accuracy is evaluated using several LWIR and CCD video imagery by two metrics: RMSE (root mean square error) and SCNR (signal-to-clutter noise-ratio) gain (improvement of SCNR). Promising applications for iris biometric identification, super-resolution image enhancements, heavy background clutter suppression for improving moving target detection have been presented in this paper.
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Hai-Wen Chen, Dennis Braunreiter, Dennis Healy, "Advanced image registration techniques and applications", Proc. SPIE 6979, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks VI, 69790X (3 April 2008); doi: 10.1117/12.791891; https://doi.org/10.1117/12.791891
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