An estimation theoretic approach to 3D image interpolation

Nelson D. A. MascarenhasIlana A. SouzaPaulo E. CruvinelClovis I. BiscegliReinaldo R. Rosa

The paper presents a new approach to image 3D interpolation using Bayesian estimation theory. Two methods are presented, depending on the used a priori information. The approach is applied to the interpolation of X-ray images from the solar atmosphere taken at different depths, as well as RMN tomographic images of a tomato.

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