View source for Publications/darbon.07.ei

{{Publication
| published = true
| date = 2006-09-30
| authors = Jérôme Darbon, Marc Sigelle, Florence Tupin
| title = The use of levelable regularization functions for MRF restoration of SAR images
| booktitle = Proceedings of the 19th Symposium SPIE on Electronic Imaging
| address = San Jose, CA, USA
| lrdeprojects = Olena
| abstract = It is well-known that Total Variation (TV) minimization with L2 data fidelity terms (which corresponds to white Gaussian additive noise) yields a restored image which presents some loss of contrast. The same behavior occurs for TVmodels with non-convex data fidelity terms that represent speckle noise. In this note we propose a new approach to cope with the restoration of Synthetic Aperture Radar images while preserving the contrast.
| lrdekeywords = Image
| lrdenewsdate = 2006-09-30
| type = inproceedings
| id = darbon.07.ei
| bibtex = 
@InProceedings<nowiki>{</nowiki>	  darbon.07.ei,
  author	= <nowiki>{</nowiki>J\'er\^ome Darbon and Marc Sigelle and Florence Tupin<nowiki>}</nowiki>,
  title		= <nowiki>{</nowiki>The use of levelable regularization functions for <nowiki>{</nowiki>MRF<nowiki>}</nowiki>
		  restoration of <nowiki>{</nowiki>SAR<nowiki>}</nowiki> images<nowiki>}</nowiki>,
  booktitle	= <nowiki>{</nowiki>Proceedings of the 19th Symposium SPIE on Electronic
		  Imaging<nowiki>}</nowiki>,
  year		= 2007,
  address	= <nowiki>{</nowiki>San Jose, CA, USA<nowiki>}</nowiki>,
  month		= jan,
  abstract	= <nowiki>{</nowiki>It is well-known that Total Variation (TV) minimization
		  with L2 data fidelity terms (which corresponds to white
		  Gaussian additive noise) yields a restored image which
		  presents some loss of contrast. The same behavior occurs
		  for TVmodels with non-convex data fidelity terms that
		  represent speckle noise. In this note we propose a new
		  approach to cope with the restoration of Synthetic Aperture
		  Radar images while preserving the contrast.<nowiki>}</nowiki>
<nowiki>}</nowiki>

}}