线性滤波图像配准的Cramer-Rao下界计算

35th IEEE Applied Imagery and Pattern Recognition Workshop (AIPR'06) Pub Date : 2006-10-11 DOI:10.1109/AIPR.2006.19

D. Tyler

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引用次数: 1

摘要

我开发了协方差矩阵表达式，用于用线性滤波器处理的图像的注册Cramer-Rao下界。这些结果还通过考虑泊松噪声和读噪声来推广以前的配准CRLB。这里显示的表达式已被翻译成目前正在测试的Fortran 90代码。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Cramer-Rao Lower Bound Calculations for Registration of Linearly-Filtered Images

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.

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35th IEEE Applied Imagery and Pattern Recognition Workshop (AIPR'06)

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