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DOE OSTI · 1767993

A Hierarchical Gibbs Sampler for Spatially Varying Multi-Regularization Image Reconstructions

Howard, Marylesa M·Adams, Jesses J
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Abstract

This is a presentation for SIAM's (Society for Industrial and Applied Mathematics) conference on computational science and engineering. This presentation describes research on novel techniques to deblur images under a Bayesian framework. The title of the conference is SIAM Conference on Computational Science and Engineering (CSE21). This is a VIRTUAL conference; it was originally scheduled in Fort Worth, TX. The conference dates are March 1-5, 2021. The link to the conference's website is https://www.siam.org/conferences/cm/conference/cse21

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Howard, Marylesa M, Adams, Jesses J. 2021-03-01. A Hierarchical Gibbs Sampler for Spatially Varying Multi-Regularization Image Reconstructions. https://doi.org/10.2172/1767993

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