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Optics Letters

Optics Letters

| RAPID, SHORT PUBLICATIONS ON THE LATEST IN OPTICAL DISCOVERIES

  • Editor: Anthony J. Campilo
  • Vol. 32, Iss. 17 — Sep. 1, 2007
  • pp: 2550–2552

Blind image deconvolution subject to bandwidth and total variation constraints

Zhu Hao, Lu Yu, and Wu Qinzhang  »View Author Affiliations


Optics Letters, Vol. 32, Issue 17, pp. 2550-2552 (2007)
http://dx.doi.org/10.1364/OL.32.002550


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Abstract

We present a maximum likelihood (ML) deconvolution algorithm with bandwidth and total variation (TV) constraints for degraded image due to atmospheric turbulence. The bandwidth limit function is estimated in view of optical system parameters and Fourier optical theory. With the aid of bandwidth and TV minimization as compelling constraints, the algorithm can not only suppress noise effectively but also restrict the bandwidth of point-spread function (PSF) that may lead to trivial solution. Compared with the conventional ML method, the proposed algorithm is able to restore a noise-free image, and the detailed texture is better than that of ML.

© 2007 Optical Society of America

OCIS Codes
(100.1830) Image processing : Deconvolution
(100.3020) Image processing : Image reconstruction-restoration
(100.3190) Image processing : Inverse problems

ToC Category:
Image Processing

History
Original Manuscript: June 11, 2007
Manuscript Accepted: July 15, 2007
Published: August 21, 2007

Citation
Zhu Hao, Lu Yu, and Wu Qinzhang, "Blind image deconvolution subject to bandwidth and total variation constraints," Opt. Lett. 32, 2550-2552 (2007)
http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-32-17-2550


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