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Proceedings Paper

Blind identification of linear degradation operators in the Fourier domain
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Paper Abstract

Captured real images are often affected by environmental and technical interferences such as linear homogeneous distortion, nonuniform illumination, sensors’ noise, geometrical scene distortion, etc. Among these issues, the former is particularly interesting because various physical problems can be modeled by such degradations. In this work we propose a blind algorithm for identification of the linear distortion operator based on the analysis of zero-crossings and phase distribution of the distorted image spectrum. The algorithm is tested with common real linear distortion operators and its identification rate is discussed.

Paper Details

Date Published: 22 September 2015
PDF: 7 pages
Proc. SPIE 9599, Applications of Digital Image Processing XXXVIII, 95992I (22 September 2015); doi: 10.1117/12.2188481
Show Author Affiliations
Victor Karnaukhov, Institute for Information Transmission Problems (Russian Federation)
Vitaly Kober, Institute for Information Transmission Problems (Russian Federation)

Published in SPIE Proceedings Vol. 9599:
Applications of Digital Image Processing XXXVIII
Andrew G. Tescher, Editor(s)

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