Image Decomposition Application to SAR Images

1. L. Alvarez, Y. Gousseau, J.M. Morel: Scales in Natural Images and a Consequence on their Bounded Variation Norm. Scale-Space’ 99, Lectures Notes in Computer Science, 1682, (1999).

   Google Scholar 

2. L. Rudin, S. Osher, E. Fatemi: Nonlinear total variation based noise removal algorithms. Physica D, 60, 259–268, (1992)

   Article  MATH  Google Scholar 

3. Yves Meyer: Oscillating patterns in image processing and in some nonlinear evolution equations. The Fifteenth Dean Jacquelines B. Lewis Memorial Lectures, (March 2001)

   Google Scholar 

4. A. Chambolle, P.L. Lions: Image recovery via total variation minimization and related problems. Numerische Mathematik, 76,(3), 167–188, (1997)

   Article  MATH  MathSciNet  Google Scholar 

5. Luminita A. Vese, Stanley J. Osher: Modeling textures with total variation minimization and oscillating patterns in image processing. UCLA C.A.M. Report 02-19 (May 2002)

   Google Scholar 

6. S.J. Osher, A. Sole, L.A. Vese: Image decomposition and restoration using total variation minimization and the H⁻¹ norm. UCLA C.A.M. Report 02-57 (October 2002)

   Google Scholar 

7. A. Chambolle: An algorithm for total variation minimization and applications. To appear in JMIV (2003).

   Google Scholar 

8. I. Ekeland, R. Temam: Analyse convexe et problèmes variationnels. Dunod, Grundlehren der mathematischen Wissenschaften, second edition, 224, (1983)

   Google Scholar 

9. Henderson Lewis: Principle and applications of imaging radar. J.Wiley and Sons, Manual of Remote Sensing, third edition, 2 (1998)

   Google Scholar 

10. G. Franceschetti, R. Lanari: Synthetic aperture radar processing CRC press, Electronic engineering systems series, (1999)

    Google Scholar 

11. J.F. Aujol, G. Aubert, L. Blanc-Féraud, A. Chambolle: Decomposing an image: Application to textured images and SAR images. Preprint (submitted)

    Google Scholar 

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