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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 48, Iss. 12 — Apr. 20, 2009
  • pp: 2350–2355

Blind deconvolution of a noisy degraded image

Jianlin Zhang, Qiheng Zhang, and Guangming He  »View Author Affiliations


Applied Optics, Vol. 48, Issue 12, pp. 2350-2355 (2009)
http://dx.doi.org/10.1364/AO.48.002350


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Abstract

We develop a unified algorithm for performing blind deconvolution of a noisy degraded image. By incorporating a low-pass filter into the asymmetric multiplicative iterative algorithm and extending it to multiframe blind deconvolution, this algorithm accomplishes the blind deconvolution and noise removal concurrently. We report numerical experiments of applying the algorithm to the restoration of short-exposure atmosphere turbulence degraded images. These experiments evidently demonstrate that the unified algorithm has both good blind deconvolution performance and high-resolution image restoration.

© 2009 Optical Society of America

OCIS Codes
(100.1830) Image processing : Deconvolution
(100.2000) Image processing : Digital image processing
(100.3020) Image processing : Image reconstruction-restoration
(100.1455) Image processing : Blind deconvolution

ToC Category:
Image Processing

History
Original Manuscript: November 19, 2008
Revised Manuscript: February 25, 2009
Manuscript Accepted: March 11, 2009
Published: April 15, 2009

Citation
Jianlin Zhang, Qiheng Zhang, and Guangming He, "Blind deconvolution of a noisy degraded image," Appl. Opt. 48, 2350-2355 (2009)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-48-12-2350

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