Identification of a class of space-variant image blurs

Mehmet K. Ozkan; A. Murat Tekalp; M. Ibrahim Sezan

doi:10.1117/12.45379

1 June 1991 Identification of a class of space-variant image blurs

Mehmet K. Ozkan, A. Murat Tekalp, M. Ibrahim Sezan

Proceedings Volume 1452, Image Processing Algorithms and Techniques II; (1991) https://doi.org/10.1117/12.45379
Event: Electronic Imaging '91, 1991, San Jose, CA, United States

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.

Citation Download Citation

Mehmet K. Ozkan, A. Murat Tekalp, and M. Ibrahim Sezan "Identification of a class of space-variant image blurs", Proc. SPIE 1452, Image Processing Algorithms and Techniques II, (1 June 1991); https://doi.org/10.1117/12.45379

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