Paper
21 September 2015 Joint sparse recovery in inverse scattering
Author Affiliations +
Abstract
In this paper, we review joint sparse recovery based reconstruction approach for inverse scattering problems that can solve the nonlnear inverse scattering probleme without linearization or iterative Green's function update. The main idea is to exploit the common support conditions of anomalies during multiple illumination or current injections, after which unknown potential or field can be estimated using recursive integral equation relationship. Explicit derivation for electric impedance tomography and diffuse optical tomography are discussed.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Okkyun Lee and Jong Chul Ye "Joint sparse recovery in inverse scattering", Proc. SPIE 9600, Image Reconstruction from Incomplete Data VIII, 96000C (21 September 2015); https://doi.org/10.1117/12.2188764
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Inverse scattering

Inverse scattering problem

Optical tomography

Biomedical optics

Electroluminescent displays

Reconstruction algorithms

Scattering

Back to Top