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Optical Engineering

Noniterative blind image restoration based on estimation of a significant class of point spread functions
Author(s): Jianlin Zhang; Qiheng Zhang
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Paper Abstract

Blind image restoration means estimating the true image from an observed degraded image, with incomplete or little prior knowledge of the blur function and the true image. Commonly, iterative or recursive methods are applied to this problem, but they are usually time-consuming, uncertain, and divergent. Focusing on a limited but significant class of point spread functions (heavy-tailed Lévy processes), a noniterative blind image restoration method is proposed, which directly estimates the point spread functions from the degraded image's Fourier amplitude and restores the image by general slow evolution of a continuation boundary. This method is based on the fast Fourier transform, so it can accomplish the blind restoration of a 512×512 image in seconds of CPU time on a current desktop platform. From several experiments on synthetic blurred images and on actual images, it is found that the quality of the restored images has been greatly improved, and many fine details are restored, by applying this method.

Paper Details

Date Published: 1 July 2007
PDF: 8 pages
Opt. Eng. 46(7) 077005 doi: 10.1117/1.2757195
Published in: Optical Engineering Volume 46, Issue 7
Show Author Affiliations
Jianlin Zhang, Institute of Optics and Electronics (China)
Qiheng Zhang, Institute of Optics and Electronics (China)

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