Intrinsic bias in Fisher information calculations for multi-mode image registration

Optics Letters
David W Tyler

Abstract

To address the need for the analysis of image processing and optical requirements in multi-mode imaging systems, such as multi-spectral and polarimetric imagers, I have developed a Fisher information matrix to quantify errors in estimating the shift between images with non-transformational feature differences. If images of the same field have differences not attributable to a geometric transformation, as is common for images acquired using different spectral or polarization filters, uncertainty in estimating the parameters of the transformation will be increased by intrinsic bias, or bias inherent in the data itself, as opposed to bias originating in the estimation algorithm. The approach to shift-estimation error analysis described in this Letter accounts for intrinsic bias, has intuitively expected properties and, given planned system sensitivity and operating conditions, can be used with simulated multi-mode imagery to estimate image registration error and develop realistic requirements.

References

Sep 29, 2004·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Dirk Robinson, Peyman Milanfar
Jul 21, 2006·Applied Optics·J Scott TyoJoseph A Shaw
Feb 5, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Hassan ForooshMarc Berthod
Sep 15, 2015·Journal of the Optical Society of America. A, Optics, Image Science, and Vision·David W Tyler, Jeffrey A Dank

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Citations

Nov 22, 2018·Applied Optics·Casey D DemarsMichael C Roggemann

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