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Stochastic Sampling for Computing the Mutual Information of Two Images

M. Unser, P. Thévenaz

Proceedings of the Fifth International Workshop on Sampling Theory and Applications (SampTA'03), Strobl, Republic of Austria, May 26-30, 2003, pp. 102-109.


Mutual information is an attractive registration criterion because it provides a meaningful comparison of images that represent different physical properties. In this paper, we review the shortcomings of three published methods for its computation. We identify the grid effect and the overlap problem as the most severe artifacts that these methods face, and propose a solution based on irregular sampling to solve for the grid effect. By implementing irregular sampling as stochastic sampling, we see that our solution covers the two problems at once, as the overlap problem ceases to be an issue, too.

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AUTHOR="Unser, M. and Th{\'{e}}venaz, P.",
TITLE="Stochastic Sampling for Computing the Mutual Information of
	Two Images",
BOOKTITLE="Proceedings of the Fifth International Workshop on
	Sampling Theory and Applications ({SampTA'03})",
YEAR="2003",
editor="",
volume="",
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pages="102--109",
address="Strobl, Republic of Austria",
month="May 26-30,",
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© 2003 NuHAG. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from NuHAG. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
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