title: Localized prior knowledge and optimal interpolation in high-resolution tomography.
abstract: The problem of electromagnetic tomographic reconstruction is approached in terms of the derivation of a minimum norm interpolator, incorporating a priori knowledge gained from a previous reconstruction. An algorithm is suggested for the initial estimate and both images are compared to that of bilinear interpolation.
authors.affiliation: Department of Electrical Engineering, University of the Witwatersrand, Johannesburg, South Africa. willis@odie.ee.wits.ac.za
authors.forename: A J
authors.initials: AJ
authors.lastname: Willis
authors.forename: M
authors.initials: M
authors.lastname: Jager
authors.forename: J
authors.initials: J
authors.lastname: Eggers
authors.forename: R D
authors.initials: RD
authors.lastname: Koch
mesh_terms: D000465:Algorithms; D005583:Fourier Analysis; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008962:Models, Theoretical; D014054:Tomography / Q000379:methods*