Conjugate-gradient algorithm with edge- preserving regularization for image reconstruction from Ipswich data for mytery objects

P. Lobel 1 Christian Pichot 1 Laure Blanc-Féraud 2 Michel Barlaud 3
2 MORPHEME - Morphologie et Images
CRISAM - Inria Sophia Antipolis - Méditerranée , IBV - Institut de Biologie Valrose : U1091, Laboratoire I3S - SIS - Signal, Images et Systèmes
Abstract : This paper presents some evidence of the effectiveness of adding edge preserving (EP) regularization to the conjugate radient (CG) method, in reconstructing the shape and permittivity profile of dielectric objects. Without any a priori information, our CG algorithm is also still efficient, and succeeded in reconstructing two mystery targets. As the two targets are now known, we hope we can greatly enhance the reconstruction quality by choosing better values for the calibration factors, and by applying our EP regularization to these data.
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Submitted on : Friday, May 2, 2014 - 11:20:29 AM
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P. Lobel, Christian Pichot, Laure Blanc-Féraud, Michel Barlaud. Conjugate-gradient algorithm with edge- preserving regularization for image reconstruction from Ipswich data for mytery objects. IEEE Transactions on Magnetics, Institute of Electrical and Electronics Engineers, 1997, 39 (2), pp.12-14. 〈10.1109/74.584492〉. 〈hal-00986350〉

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