Bayesian Multiresolution Method for Local Tomography

Kati Niinimäki; Ville Kolehmainen; Samuli Siltanen

doi:10.1364/SRS.2009.STuA2

Frontiers in Optics 2009/Laser Science XXV/Fall 2009 OSA Optics & Photonics Technical Digest
OSA Technical Digest (CD) (Optica Publishing Group, 2009),
paper STuA2
•https://doi.org/10.1364/SRS.2009.STuA2

Bayesian Multiresolution Method for Local Tomography

Kati Niinimäki, Ville Kolehmainen, and Samuli Siltanen

Signal Recovery and Synthesis 2009

San Jose, California United States
13–14 October 2009
ISBN: 978-1-55752-878-0

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Imaging from Limited and Compressed Data (STuA)

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K. Niinimäki, V. Kolehmainen, and S. Siltanen, "Bayesian Multiresolution Method for Local Tomography," in Frontiers in Optics 2009/Laser Science XXV/Fall 2009 OSA Optics & Photonics Technical Digest, OSA Technical Digest (CD) (Optica Publishing Group, 2009), paper STuA2.

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Abstract

We present a wavelet based multiresolution model for local tomography. Reconstruction model is reduced by discarding fine-scale wavelets outside the region-of-interest (ROI). The approach allows significant model reduction without loss of accuracy in the ROI.

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