Tomographic Reconstruction of Atmospheric Turbulence from Microlens Imagery

Data acquired from a micro-lens array is used to obtain a 3-D reconstruction of the wave front. The problem is modeled as a large-scale inverse problem, which can be efficiently solved using iterative optimization techniques.

[1]  Andrew W. Serio,et al.  Gems first science results , 2013, 1401.2009.

[2]  Florin Popentiu,et al.  Iterative identification and restoration of images , 1993, Comput. Graph..

[3]  B. Ellerbroek,et al.  Split atmospheric tomography using laser and natural guide stars. , 2008, Journal of the Optical Society of America. A, Optics, image science, and vision.

[4]  R. Foy,et al.  Adaptive telescope with laser probe : isoplanatism and cone effect , 1990 .

[5]  B. R. Hunt,et al.  Digital Image Restoration , 1977 .

[6]  Austin Roorda,et al.  Adaptive optics retinal imaging: emerging clinical applications. , 2010, Optometry and vision science : official publication of the American Academy of Optometry.

[7]  E. Marchetti,et al.  Modal tomography for adaptive optics , 1999 .

[8]  Ronny Ramlau,et al.  An efficient solution to the atmospheric turbulence tomography problem using Kaczmarz iteration , 2012 .

[9]  J Shamir,et al.  Atmospheric tomography using a fringe pattern in the sodium layer. , 1994, Optics letters.

[10]  N. Hubin,et al.  Optimized modal tomography in adaptive optics , 2001 .

[11]  R. Hudgin.  Wave-front reconstruction for compensated imaging , 1977 .

[12]  Robert Q. Fugate,et al.  The Starfire Optical Range 3.5-m Adaptive Optical Telescope , 2003, SPIE Astronomical Telescopes + Instrumentation.

[13]  Dianne P. O'Leary,et al.  Deblurring Images: Matrices, Spectra and Filtering , 2006, J. Electronic Imaging.

[14]  L M Mugnier,et al.  Optimal wave-front reconstruction strategies for multiconjugate adaptive optics. , 2001, Journal of the Optical Society of America. A, Optics, image science, and vision.

[15]  C. Vogel.  Computational Methods for Inverse Problems , 1987 .

[16]  G. Rousset,et al.  Tomography approach for multi-object adaptive optics. , 2010, Journal of the Optical Society of America. A, Optics, image science, and vision.

[17]  L. Gilles,et al.  Order-N sparse minimum-variance open-loop reconstructor for extreme adaptive optics. , 2003, Optics letters.

[18]  Curtis R Vogel,et al.  Fourier domain preconditioned conjugate gradient algorithm for atmospheric tomography. , 2006, Applied optics.

[19]  Mario Bertero,et al.  Introduction to Inverse Problems in Imaging , 1998 .

[20]  Johnathan M. Bardsley,et al.  Wavefront Reconstruction Methods for Adaptive Optics Systems on Ground-Based Telescopes , 2008, SIAM J. Matrix Anal. Appl..

[21]  D. S. Acton,et al.  First Light Adaptive Optics Images from the Keck II Telescope: A New Era of High Angular Resolution Imagery , 2000 .

[22]  Anil K. Jain.  Fundamentals of Digital Image Processing , 2018, Control of Color Imaging Systems.

[23]  David L. Fried,et al.  Least-square fitting a wave-front distortion estimate to an array of phase-difference measurements , 1977 .

[24]  James G. Nagy,et al.  Structured linear algebra problems in adaptive optics imaging , 2011, Adv. Comput. Math..

[25]  Richard Dekany,et al.  Large-scale wave-front reconstruction for adaptive optics systems by use of a recursive filtering algorithm. , 2005, Applied optics.