Empirical evaluation of the anisoplanatic bispectrum transfer function for extended objects

In contrast to theory, speckle imaging has proven an effective tool for scene recovery over long horizontal paths where imaging distortions are highly anisoplanatic. One possible explanation for this efficacy is that the atmospheric bispectrum transfer function is less attenuated at higher spatial frequencies when the object is extended and not a pair of point sources, as examined by theory. In this work, I empirically evaluate the speckle, cross-spectrum, and bispectrum transfer functions by comparing these quantities as derived from both field and simulation data to a simulated diffraction-limited reference image. The empirical transfer function relationships are found by comparing turbulence quantities to those of their diffraction-limited counterparts.

[1]  Michael C. Roggemann,et al.  Technique for simulating anisoplanatic image formation over long horizontal paths , 2012 .

[2]  B. Ellerbroek First-order performance evaluation of adaptive optics systems for atmospheric turbulence compensatio , 1994 .

[3]  B. Welsh,et al.  Imaging Through Turbulence , 1996 .

[4]  Frederick G. Gebhardt Angular Dependence of the Atmospheric Turbulence Effect in Speckle Interferometry , 1979 .

[5]  A. Lohmann,et al.  Speckle masking in astronomy: triple correlation theory and applications. , 1983, Applied optics.

[6]  Michael Roggemann,et al.  Near the ground laser communication system: Fried parameter estimation from the WFS measurements , 2010, 2010 IEEE Aerospace Conference.

[7]  Erik M. Johansson,et al.  Extended-image reconstruction through horizontal path turbulence using bispectral speckle interferometry , 1992 .

[8]  J. C. Dainty,et al.  Knox–Thompson and triple-correlation imaging through atmospheric turbulence , 1988 .

[9]  A. Lambert,et al.  Atmospheric turbulence visualization with wide-area motion-blur restoration , 1999 .

[10]  Michael C. Roggemann,et al.  The Cross-Spectrum Transfer Function For Image Reconstruction Under Anisoplanatic Conditions , 2015 .

[11]  M A Vorontsov,et al.  Anisoplanatic imaging through turbulent media: image recovery by local information fusion from a set of short-exposure images. , 2001, Journal of the Optical Society of America. A, Optics, image science, and vision.

[12]  D. Korff,et al.  Analysis of a method for obtaining near-diffraction-limited information in the presence of atmospheric turbulence , 1973 .

[13]  A. Labeyrie Attainment of diffraction limited resolution in large telescopes by Fourier analysing speckle patterns in star images , 1970 .

[14]  Michael C. Roggemann,et al.  Anisoplanatism over horizontal path: comparison of theoretical and experimental results , 2012, Other Conferences.

[15]  Michael C. Roggemann,et al.  Robustness of speckle-imaging techniques applied to horizontal imaging scenarios , 2012 .

[16]  Michael C. Roggemann,et al.  Comparison of bispectrum, multiframe blind deconvolution and hybrid bispectrum-multiframe blind deconvolution image reconstruction techniques for anisoplanatic, long horizontal-path imaging , 2014 .

[17]  James R Fienup,et al.  Multiple-plane anisoplanatic phase correction in a laboratory digital holography experiment. , 2010, Optics letters.

[18]  K. Knox,et al.  Recovery of Images from Atmospherically Degraded Short-Exposure Photographs , 1974 .