Identification of causal non-minimum phase blurs using outputcumulants
Vural, C.
Tull, D.L.
Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI;
This paper appears in: Image Processing, 2001. Proceedings. 2001 International Conference on
Publication Date: 2001
Volume: 1,
On page(s): 229-232 vol.1
Meeting Date: 10/07/2001 - 10/10/2001
Location: Thessaloniki, Greece
ISBN: 0-7803-6725-1
References Cited: 8
INSPEC Accession Number: 7210850
Digital Object Identifier: 10.1109/ICIP.2001.958995
Current Version Published: 2002-08-07
Abstract
We propose a new blur identification method based on cumulants of
an observed noisy blurred image. We show that the new method is capable
of identifying blurs that are nonminimum phase which are often
encountered in real applications. The blurred image is modeled as a
non-minimum phase moving average (MA) model whose parameters are
identified using cumulants of the observed image. The new method is
superior to model based maximum likelihood and least squares methods
that can not identify non-minimum phase blurs since they utilize
second-order statistics which are phase blind
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