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Proceedings Paper

Identification of a class of space-variant image blurs
Author(s): Mehmet K. Ozkan; A. Murat Tekalp; M. Ibrahim Sezan
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Paper Abstract

In this paper, we address the identification of a class of continuously varying linear space variant (LSV) blurs, for which the variation of the PSF parameters can be tracked from the loci of the zero-crossings in the magnitude of the local Fourier transform (LFT) of the blurred image. We show that this class of LSV blurs can be identified by an LFT analysis provided that the variation of the PSF parameters over the image is sufficiently slow. It is demonstrated that the size of the LFT analysis window needs to be approximately four times the blur support to obtain good results. However, since the blur size is unknown to start with, we propose a multi-(spatial) resolution LFT analysis of the blurred image to determine the best window size and the estimate of the blur support. We provide experimental results for the case of LSV motion blur.

Paper Details

Date Published: 1 June 1991
PDF: 11 pages
Proc. SPIE 1452, Image Processing Algorithms and Techniques II, (1 June 1991); doi: 10.1117/12.45379
Show Author Affiliations
Mehmet K. Ozkan, Univ. of Rochester (United States)
A. Murat Tekalp, Univ. of Rochester (United States)
M. Ibrahim Sezan, Eastman Kodak Co. (United States)

Published in SPIE Proceedings Vol. 1452:
Image Processing Algorithms and Techniques II
Mehmet Reha Civanlar; Sanjit K. Mitra; Robert J. Moorhead, Editor(s)

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