Title :
Cramer-Rao Lower Bound Calculations for Registration of Linearly-Filtered Images
Author_Institution :
Coll. of Opt. Sci., Arizona Univ., Tucson, AZ
Abstract :
I have developed covariance matrix expressions for the registration Cramer-Rao lower bound for images processed with a linear filter. These results also generalize a previous registration CRLB by accounting for Poisson noise as well as read noise. Expressions shown here have been translated into a Fortran 90 code currently being tested.
Keywords :
covariance matrices; filtering theory; image registration; stochastic processes; Cramer-Rao lower bound calculations; Fortran 90 code; Poisson noise; covariance matrix expressions; linearly-filtered image registration; read noise; Convolution; Covariance matrix; Deconvolution; Gaussian noise; Noise robustness; Nonlinear filters; Optical filters; Optical noise; Parameter estimation; Pixel;
Conference_Titel :
Applied Imagery and Pattern Recognition Workshop, 2006. AIPR 2006. 35th IEEE
Conference_Location :
Washington, DC
Print_ISBN :
0-7695-2739-6
Electronic_ISBN :
1550-5219
DOI :
10.1109/AIPR.2006.19
