Advanced image registration techniques and applications

Hai-Wen Chen; Dennis Braunreiter; Dennis Healy

doi:10.1117/12.791891

3 April 2008 Advanced image registration techniques and applications

Hai-Wen Chen, Dennis Braunreiter, Dennis Healy

Proceedings Volume 6979, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks VI; 69790X (2008) https://doi.org/10.1117/12.791891
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

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.

Citation Download Citation

Hai-Wen Chen, Dennis Braunreiter, and 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); https://doi.org/10.1117/12.791891

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