Spectral analysis of distorted images in restoration problems

Authors:
O. Milyukova;V. Kober;V. Karnaukhov;I. A. Ovseyevich
Affiliations:
Institute for Information Transmission Problems, Moscow, Russia 127994;Institute for Information Transmission Problems, Moscow, Russia 127994 and Department of Computer Science, Division of Applied Physics, CICESE, Ensenada, Mexico B.C. 22860;Institute for Information Transmission Problems, Moscow, Russia 127994;Institute for Information Transmission Problems, Moscow, Russia 127994
Venue:
Pattern Recognition and Image Analysis
Year:
2010

Citing 2
Cited 0

Digital Image Processing

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IEEE Transactions on Computers

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Abstract

Mathematical properties of the amplitude and phase components of Fourier spectra of distorted images are analyzed. Based on the results, a method is proposed for solving the identification problem of the distorting operator using the spectra of the distorted image.