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Proceedings Paper

Single-image, spatially variant, out-of-focus blur removal
Author(s): Stanley H. Chan; Truong Q. Nguyen
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Paper Abstract

This paper addresses the problem of two-layer out-of-focus blur removal from a single image, in which either the foreground or the background is in focus while the other is out of focus. To recover details from the blurry parts, the existing blind deconvolution algorithms are insufficient as the problem is spatially variant. The proposed method exploits the invariant structure of the problem by first predicting the occluded background. Then a blind deconvolution algorithm is applied to estimate the blur kernel and a coarse estimate of the image is found as a side product. Finally, the blurred region is recovered using total variation minimization, and fused with the sharp region to produce the final deblurred image.

Paper Details

Date Published: 19 October 2012
PDF: 15 pages
Proc. SPIE 8500, Image Reconstruction from Incomplete Data VII, 85000F (19 October 2012); doi: 10.1117/12.929924
Show Author Affiliations
Stanley H. Chan, Harvard Univ. (United States)
Truong Q. Nguyen, Univ. of California, San Diego (United States)


Published in SPIE Proceedings Vol. 8500:
Image Reconstruction from Incomplete Data VII
Philip J. Bones; Michael A. Fiddy; Rick P. Millane, Editor(s)

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