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Virtual Journal for Biomedical Optics

Virtual Journal for Biomedical Optics


  • Editor: Gregory W. Faris
  • Vol. 1, Iss. 4 — Apr. 12, 2006

A computational method for the restoration of images with an unknown, spatially-varying blur

Johnathan Bardsley, Stuart Jefferies, James Nagy, and Robert Plemmons  »View Author Affiliations

Optics Express, Vol. 14, Issue 5, pp. 1767-1782 (2006)

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In this paper, we present an algorithm for the restoration of images with an unknown, spatially-varying blur. Existing computational methods for image restoration require the assumption that the blur is known and/or spatially-invariant. Our algorithm uses a combination of techniques. First, we section the image, and then treat the sections as a sequence of frames whose unknown PSFs are correlated and approximately spatially-invariant. To estimate the PSFs in each section, phase diversity is used. With the PSF estimates in hand, we then use a technique by Nagy and O’Leary for the restoration of images with a known, spatially-varying blur to restore the image globally. Test results on star cluster data are presented.

© 2006 Optical Society of America

OCIS Codes
(010.1330) Atmospheric and oceanic optics : Atmospheric turbulence
(100.3020) Image processing : Image reconstruction-restoration
(100.3190) Image processing : Inverse problems
(100.5070) Image processing : Phase retrieval

ToC Category:
Image Processing

Original Manuscript: December 5, 2005
Revised Manuscript: February 24, 2006
Manuscript Accepted: February 25, 2006
Published: March 6, 2006

Virtual Issues
Vol. 1, Iss. 4 Virtual Journal for Biomedical Optics

Johnathan Bardsley, Stuart Jefferies, James Nagy, and Robert Plemmons, "A computational method for the restoration of images with an unknown, spatially-varying blur," Opt. Express 14, 1767-1782 (2006)

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