Conjugate gradient algorithm with edge-preserving regularization for image reconstruction from experimental data

Author

Lobel, P. ; Picbota, C. ; Blanc Feraud, L. ; Barlaud, M.

Author_Institution

Lab. Inf. Signaux et Syst. de Sophia Antipolis, France

Volume

1

fYear

1996

fDate

21-26 July 1996

Firstpage

644

Abstract

A method for reconstructing the complex permittivity profile of lossy dielectric objects from measured scattered far-field data is presented. From an integral representation of the electric field (EFIE) and applying the moment method solution, an iterative reconstruction algorithm based on the conjugate gradient method is derived. A new, regularized procedure is proposed based on the Markov random fields model which allows a smoothing of homogeneous areas while edges are preserved.

Keywords

Markov processes; conjugate gradient methods; electric fields; electromagnetic fields; electromagnetic wave scattering; image reconstruction; integral equations; inverse problems; method of moments; permittivity; random processes; EFIE; Markov random fields model; complex permittivity profile; conjugate gradient algorithm; conjugate gradient method; edge preserving regularization; electric field; experimental data; homogeneous areas smoothing; image reconstruction; integral representation; inverse scattering problem; iterative reconstruction algorithm; lossy dielectric objects; measured scattered far-field data; moment method solution; regularized procedure; Dielectric loss measurement; Dielectric losses; Dielectric measurements; Iterative algorithms; Iterative methods; Loss measurement; Moment methods; Permittivity measurement; Reconstruction algorithms; Scattering;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation Society International Symposium, 1996. AP-S. Digest

Conference_Location

Baltimore, MD, USA

Print_ISBN

0-7803-3216-4

Type

conf

DOI

10.1109/APS.1996.549680

Filename

549680