Image decomposition. Application to SAR images.

Abstract : We construct an algorithm to split an image into a sum u+v of a bounded variation component and a component containing the textures and the noise. This decomposition is inspired from a recent work of Y. Meyer. We find this decomposition by minimizing a convex functional which depends on the two variables u and v, alternatively in each variable. Each minimization is based on a projection algorithm to minimize the total variation. We carry out the mathematical study of our method. We present some numerical results. In particular, we show how the u component can be used in nontextured SAR image restoration.
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Article dans une revue
Lecture notes in computer science, springer, 2003, Scale Space Methods in Computer Vision (2695), p. 297-312. <10.1007/3-540-44935-3>
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https://hal.archives-ouvertes.fr/hal-00202010
Contributeur : Jean-François Aujol <>
Soumis le : jeudi 3 janvier 2008 - 18:14:58
Dernière modification le : jeudi 9 février 2017 - 15:10:05

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Jean-François Aujol, Gilles Aubert, Laure Blanc-Féraud, Antonin Chambolle. Image decomposition. Application to SAR images.. Lecture notes in computer science, springer, 2003, Scale Space Methods in Computer Vision (2695), p. 297-312. <10.1007/3-540-44935-3>. <hal-00202010>

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