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Proceedings Paper

Cumulant-based blur identification approach to image restoration
Author(s): You Xu; Gregory A. Crebbin
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Paper Abstract

In this paper, we provide a novel method based on higher order statistic cumulants to identify nonminimum-phase point spread functions and enlarges the possible distribution type of the image formation field. In our method, we specify the blur identification problem as an ARMA model parameter identification problem, but we consider the image model as a realization of a colored signal instead of a normal zero-mean white Gaussian signal, which enlarges the range of image types. For the colored input ARMA model, the contributions of the bicepstrum of ARMA model are only along the axes and 45 degree(s) degree lines, so we extract the linear parts of cumulant of blur image to analysis, in which we use higher-order statistic techniques to estimate the ARMA parameters. The experiments are present in this paper.

Paper Details

Date Published: 21 April 1995
PDF: 6 pages
Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); doi: 10.1117/12.206727
Show Author Affiliations
You Xu, Univ. of Western Australia (Australia)
Gregory A. Crebbin, Univ. of Western Australia (Australia)


Published in SPIE Proceedings Vol. 2501:
Visual Communications and Image Processing '95
Lance T. Wu, Editor(s)

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