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Applied Optics

Applied Optics


  • Editor: Joseph N. Mait
  • Vol. 53, Iss. 9 — Mar. 20, 2014
  • pp: 1838–1845

Estimation method of point spread function based on Kalman Filter for accurately evaluating real optical properties of photonic crystal fibers

Yan Shen, Shuqin Lou, and Xin Wang  »View Author Affiliations

Applied Optics, Vol. 53, Issue 9, pp. 1838-1845 (2014)

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The evaluation accuracy of real optical properties of photonic crystal fibers (PCFs) is determined by the accurate extraction of air hole edges from microscope images of cross sections of practical PCFs. A novel estimation method of point spread function (PSF) based on Kalman filter is presented to rebuild the micrograph image of the PCF cross-section and thus evaluate real optical properties for practical PCFs. Through tests on both artificially degraded images and microscope images of cross sections of practical PCFs, we prove that the proposed method can achieve more accurate PSF estimation and lower PSF variance than the traditional Bayesian estimation method, and thus also reduce the defocus effect. With this method, we rebuild the microscope images of two kinds of commercial PCFs produced by Crystal Fiber and analyze the real optical properties of these PCFs. Numerical results are in accord with the product parameters.

© 2014 Optical Society of America

OCIS Codes
(070.6110) Fourier optics and signal processing : Spatial filtering
(100.3020) Image processing : Image reconstruction-restoration
(060.5295) Fiber optics and optical communications : Photonic crystal fibers

ToC Category:
Fiber Optics and Optical Communications

Original Manuscript: December 13, 2013
Revised Manuscript: January 28, 2014
Manuscript Accepted: February 10, 2014
Published: March 19, 2014

Yan Shen, Shuqin Lou, and Xin Wang, "Estimation method of point spread function based on Kalman Filter for accurately evaluating real optical properties of photonic crystal fibers," Appl. Opt. 53, 1838-1845 (2014)

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