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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 48, Iss. 32 — Nov. 10, 2009
  • pp: 6111–6119

Bicoherence: a new lucky region technique in anisoplanatic image restoration

Zhiying Wen, Donald Fraser, and Andrew Lambert  »View Author Affiliations


Applied Optics, Vol. 48, Issue 32, pp. 6111-6119 (2009)
http://dx.doi.org/10.1364/AO.48.006111


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Abstract

A novel algorithm is proposed to predict “lucky” regions in a sequence of long-range camera images affected by atmospheric turbulence. Our new approach is to employ bicoherence as a measure of quality to determine lucky regions or good quality image patches from a recorded sequence of anisoplanatic images. The better-quality image regions are selected according to the magnitude of the average value of the bicoherence of each region. Each image patch is restored using bispectral phase estimation from lucky regions, before mosaicing to an overall restoration. Bicoherence can also be used to predict lucky images in the isoplanatic case. Experiments show that our algorithm performs well with both simulated and naturally degraded data.

© 2009 Optical Society of America

OCIS Codes
(010.0010) Atmospheric and oceanic optics : Atmospheric and oceanic optics
(010.1330) Atmospheric and oceanic optics : Atmospheric turbulence
(100.0100) Image processing : Image processing
(100.3020) Image processing : Image reconstruction-restoration

ToC Category:
Image Processing

History
Original Manuscript: July 16, 2009
Manuscript Accepted: September 18, 2009
Published: November 2, 2009

Citation
Zhiying Wen, Donald Fraser, and Andrew Lambert, "Bicoherence: a new lucky region technique in anisoplanatic image restoration," Appl. Opt. 48, 6111-6119 (2009)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-48-32-6111


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References

  1. M. Roggemann and B. Welch, Imaging Through Turbulence (CRC, 1996).
  2. C. J. Carrano, “Speckle imaging over horizontal paths,” Proc. SPIE 4825, 65-75 (2002).
  3. D. Fried, “Probability of getting a lucky short-exposure image through turbulence,” J. Opt. Soc. Am. A 68, 1651-1658 (1978). [CrossRef]
  4. R. Tubbs, “Lucky exposures: diffraction limited astronomical imaging through the atmosphere,” Ph.D. thesis (Cambridge University, 2003).
  5. N. Law, C. Mackay, and J. Baldwin, “Lucky imaging: high angular resolution imaging in the visible from the ground,” Astron. Astrophys. 446, 739-745 (2006). [CrossRef]
  6. S. Weddell and R. Webb, “Data preprocessing on sequential data for improved astronomical imaging,” in Proceedings of Image and Vision Computing (Academic, 2005).
  7. M. Vorontsov and G. Carhart, “Anisoplanatic imaging through turbulent media: image recovery by local information fusion from a set of short-exposure images,” J. Opt. Soc. Am. A 18, 1312-1324 (2001). [CrossRef]
  8. J. Fackrell and S. McLaughlin, “Quadratic phase coupling detection using higher order statistics,” in Proceedings of the IEE Colloquium on Higher Order Statistics (Academic, 1995), pp. 9/1-9/8.
  9. J. Mendel, “Tutorial on higher-order statistics (spectra) in signal processing and system theory: theoretical results and some applications,” Proc. IEEE 79, 278-305 (1991).
  10. C. Nikias and A. Petropulu, Higher-Order Spectra Analysis (Prentice-Hall, 1993).
  11. A. Lohmann and B. Wirnitzer, “Triple correlations,” in Proc. IEEE 72, 889-901 (1984). [CrossRef]
  12. T. D. de Wit, “Spectral and statistical analysis of plasma turbulence: beyond linear techniques,” in Space Plasma Simulation (Springer, 2003).
  13. W. Silva, T. Strganac, and M. Hajj, “Higher-order spectral analysis of a nonlinear pitch and plunge apparatus,” in Proceedings of the 46th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. (Academic, 2005), pp. 2005-2013.
  14. S. McLaughlin, A. Stogioglou, and J. Fackrell, “Introducing higher order statistics (HOS) for the detection of nonlinearities,” UK Nonlinear News (1995).
  15. M. Hinich and M. Wolinsky, “Normalizing bispectra,” J. Statistical Planning Inference 130, 405-411 (2005). [CrossRef]
  16. T. Ng, S. Chang, and Q. Sun, “Blind detection of photomontage using higher order statistics,” in Proceedings of the International Symposium on Circuits and Systems, ISCAS 2004, Vol. 5 (IEEE, 2004), pp. 688-691.
  17. H. Farid and A. Popescu, “Blind removal of image nonlinearities,” in Proceedings of IEEE Conference on International Conference of Computer Vision (IEEE, 2001), pp. 76-81.
  18. Z. Wen, D. Fraser, and A. Lambert, “Bicoherence Used to Predict Lucky Regions in Turbulence Affected Surveillance,” in IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'06) (2006), pp. 108-114. [CrossRef]
  19. C. Matson, “Weighted-least-squares phase reconstruction from the bispectrum,” J. Opt. Soc. Am. A 8, 1905-1913 (1991). [CrossRef]
  20. Bovik, C. Alan, “New directions in image and video quality assessment plenary talk,” Proceedings of IEEE 9th Workshop on Multimedia Signal Processing (MMSP) (2007).
  21. C. M. Harding, R. A. Johnston, and R. G. Lane, “Fast simulation of a Kolmogorov phase screen,” Appl. Opt. 38, 2161-2170 (1999). [CrossRef]
  22. A. J. Lambert and D. Fraser, “Superresolution in imagery arising from observation through anisoplanatic distortion,” Proc. SPIE 5562, 65-75 (2004). [CrossRef]
  23. C. J. Carrano, “Anisoplanatic performance of horizontal-path speckle imaging,” Proc. SPIE 5162, 14-26 (2003). [CrossRef]

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