Article | REF: TE5235 V1

Inverse problems in signal and image processing

Authors: Guy DEMOMENT, Jérôme IDIER, Jean-François GIOVANNELLI, Ali MOHAMMAD-DJAFARI

Publication date: November 10, 2001, Review date: June 28, 2019 | Lire en français

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    4. Bayesian approach to inversion

    There are at least two reasons to place inverse problem solving within a Bayesian framework. Firstly, this is the framework in which local energy functions and Markovian modeling were introduced, and which has had a lasting impact on low-level image processing. But it also offers the most coherent and comprehensive answers to problems left open in other approaches, such as the choice of hyperparameters or the optimization of a multimodal criterion.

    4.1 Inversion and statistical inference

    To clarify the link between inversion and statistical inference, it is useful at this stage to summarize the analysis made in paragraph

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