Publications/darbon.07.ei

Authors

Jérôme Darbon, Marc Sigelle, Florence Tupin

Where

Proceedings of the 19th Symposium SPIE on Electronic Imaging

Place

San Jose, CA, USA

Type

inproceedings

Projects

Olena

Keywords

Image

Date

2006-09-30

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.

Bibtex (lrde.bib)

@InProceedings{	  darbon.07.ei,
  author	= {J\'er\^ome Darbon and Marc Sigelle and 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},
  year		= 2007,
  address	= {San Jose, CA, USA},
  month		= jan,
  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.}
}