Hypermodels in the Bayesian imaging framework
- 23 May 2008
- journal article
- Published by IOP Publishing in Inverse Problems
- Vol. 24 (3)
- https://doi.org/10.1088/0266-5611/24/3/034013
Abstract
No abstract availableKeywords
This publication has 17 references indexed in Scilit:
- A Gaussian hypermodel to recover blocky objectsInverse Problems, 2007
- Preconditioned iterative methods for linear discrete ill-posed problems from a Bayesian inversion perspectiveJournal of Computational and Applied Mathematics, 2007
- Microlocal sequential regularization in imagingInverse Problems & Imaging, 2007
- Image inpainting with structural bootstrap priorsImage and Vision Computing, 2006
- From Mumford–Shah to Perona–Malik in image processingMathematical Methods in the Applied Sciences, 2004
- On the regularizing properties of the GMRES methodNumerische Mathematik, 2002
- Optimal approximations by piecewise smooth functions and associated variational problemsCommunications on Pure and Applied Mathematics, 1989
- Digital Image ProcessingJournal of Applied Statistics, 1989
- On the Statistical Analysis of Dirty PicturesJournal of the Royal Statistical Society Series B: Statistical Methodology, 1986
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of ImagesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1984