Difference between revisions of "Publications/darbon.06.siam"
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| booktitle = SIAM Conference on Imaging Sciences |
| booktitle = SIAM Conference on Imaging Sciences |
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| address = Minneapolis, USA |
| address = Minneapolis, USA |
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+ | | lrdeprojects = Olena |
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| abstract = We investigate the decomposition property of posterior restoration energies on level sets in a discrete Markov Random Field framework. This leads us to the concept of 'levelable' potentials (which TV is shown to be the paradigm of). We prove that convex levelable posterior energies can be minimized exactly with level-independant binary graph cuts. We extend this scheme to the case of non-convex levelable energies, and present convincing restoration results for images degraded by impulsive noise. |
| abstract = We investigate the decomposition property of posterior restoration energies on level sets in a discrete Markov Random Field framework. This leads us to the concept of 'levelable' potentials (which TV is shown to be the paradigm of). We prove that convex levelable posterior energies can be minimized exactly with level-independant binary graph cuts. We extend this scheme to the case of non-convex levelable energies, and present convincing restoration results for images degraded by impulsive noise. |
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| lrdekeywords = Image |
| lrdekeywords = Image |
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address = <nowiki>{</nowiki>Minneapolis, USA<nowiki>}</nowiki>, |
address = <nowiki>{</nowiki>Minneapolis, USA<nowiki>}</nowiki>, |
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month = may, |
month = may, |
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| − | project = <nowiki>{</nowiki>Image<nowiki>}</nowiki>, |
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abstract = <nowiki>{</nowiki>We investigate the decomposition property of posterior |
abstract = <nowiki>{</nowiki>We investigate the decomposition property of posterior |
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restoration energies on level sets in a discrete Markov |
restoration energies on level sets in a discrete Markov |
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Latest revision as of 15:07, 22 February 2017
- Authors
- Jérôme Darbon, Marc Sigelle
- Where
- SIAM Conference on Imaging Sciences
- Place
- Minneapolis, USA
- Type
- inproceedings
- Projects
- Olena
- Keywords
- Image
- Date
- 2006-02-22
Abstract
We investigate the decomposition property of posterior restoration energies on level sets in a discrete Markov Random Field framework. This leads us to the concept of 'levelable' potentials (which TV is shown to be the paradigm of). We prove that convex levelable posterior energies can be minimized exactly with level-independant binary graph cuts. We extend this scheme to the case of non-convex levelable energies, and present convincing restoration results for images degraded by impulsive noise.
Bibtex (lrde.bib)
@InProceedings{ darbon.06.siam,
author = {J\'er\^ome Darbon and Marc Sigelle},
title = {Fast and Exact Discrete Image Restoration Based on Total
Variation and on Its Extensions to Levelable Potentials},
booktitle = {SIAM Conference on Imaging Sciences},
year = 2006,
address = {Minneapolis, USA},
month = may,
abstract = {We investigate the decomposition property of posterior
restoration energies on level sets in a discrete Markov
Random Field framework. This leads us to the concept of
'levelable' potentials (which TV is shown to be the
paradigm of). We prove that convex levelable posterior
energies can be minimized exactly with level-independant
binary graph cuts. We extend this scheme to the case of
non-convex levelable energies, and present convincing
restoration results for images degraded by impulsive
noise.}
}