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Proceedings Paper

Super-resolving image restoration in Karhunen-Loeve basis
Author(s): Vitalij N. Kurashov; Alexandr G. Chumakov; Alexandr V. Kisil; Andry V. Kovalenko
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Paper Abstract

For superresolving image restoration it is suggested to use unsymmetrical matrix representation of image system's pulse response function in Karhunen-Loeve basis. Basic functions of such representation are defined by Karhunen-Loeve decomposition of object and image ensembles. Finite dimensional projection of initial and distorted images on their Karhunen-Loeve bases decreases the order of inverse problem matrix, minimizes noise and ensures stable superresolved restoration of large dimension images under high noise level, when application of traditional superresolving procedures is impossible.

Paper Details

Date Published: 30 September 1994
PDF: 11 pages
Proc. SPIE 2302, Image Reconstruction and Restoration, (30 September 1994); doi: 10.1117/12.188062
Show Author Affiliations
Vitalij N. Kurashov, Kiev Univ. (Ukraine)
Alexandr G. Chumakov, Kiev Univ. (Ukraine)
Alexandr V. Kisil, Kiev Univ. (Ukraine)
Andry V. Kovalenko, Kiev Univ. (Ukraine)


Published in SPIE Proceedings Vol. 2302:
Image Reconstruction and Restoration
Timothy J. Schulz; Donald L. Snyder, Editor(s)

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