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In this paper we discuss the use of the maximum entropy principle in tomographic reconstruction. We emphasize that entropy maximization is the only consistent regularization technique for images. A method of encoding prior information is discussed, and an example of the use of prior knowledge in the restoration of a fuel pin bundle is given.
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Gull et al. (1986) studied this question.
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