TY - GEN
T1 - Tighter performance bounds on image registration
AU - Min, Xu
AU - Varshney, Pramod K.
PY - 2006
Y1 - 2006
N2 - Image registration is a fundamental and important task in image processing. It essentially estimates a transformation that aligns two images. Cramer Rao Lower bound has recently been used to establish the performance limit of image registration algorithms. However, it is known to be a weak lower bound for some problems. In this paper, we analyze the mean square error performance of transformation estimation in image registration problems We focus on rigid body transformations, and derive a set of tighter alternatives, namely the Bhattacharya bound and the Ziv-Zakai bound. Experimental results demonstate the validity of our performance bounds.
AB - Image registration is a fundamental and important task in image processing. It essentially estimates a transformation that aligns two images. Cramer Rao Lower bound has recently been used to establish the performance limit of image registration algorithms. However, it is known to be a weak lower bound for some problems. In this paper, we analyze the mean square error performance of transformation estimation in image registration problems We focus on rigid body transformations, and derive a set of tighter alternatives, namely the Bhattacharya bound and the Ziv-Zakai bound. Experimental results demonstate the validity of our performance bounds.
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M3 - Conference contribution
AN - SCOPUS:33947612024
SN - 142440469X
SN - 9781424404698
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - II777-II780
BT - 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings
T2 - 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006
Y2 - 14 May 2006 through 19 May 2006
ER -