The use of levelable regularization functions for MRF restoration of SAR images

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.}
}