Local-linear method of super-resolution for compensation of image distortions using a new model of turbulence

Fedor V. Shugaev; Evgeni N. Terentiev; Ludmila S. Shtemenko; Olga I. Dokukina; Oksana A. Ignateva

doi:10.1117/12.511108

6 February 2004 Local-linear method of super-resolution for compensation of image distortions using new model of turbulence

Fedor V. Shugaev, Evgeni N. Terentiev, Ludmila S. Shtemenko, Olga I. Dokukina, Oksana A. Ignateva

Author Affiliations +

Proceedings Volume 5237, Optics in Atmospheric Propagation and Adaptive Systems VI; (2004) https://doi.org/10.1117/12.511108
Event: Remote Sensing, 2003, Barcelona, Spain

Abstract

Atmospheric turbulence is one of the important factors that influence on scene spatial resolution. In order to restore an image with minimum distortions one must know the correlation function for fluctuations of refractive index and the distorting PSF as a result. Grid-generated turbulence is a classic example of homogeneous and isotropic turbulence. Statistical properties of this flow have been investigated experimentally. In our case of grid-generated turbulence the statistical properties are distinct from the Kolmogorov's two-thirds law. Calculations performed on the basis of the linearized three-dimensional unsteady Navier-Stokes equations gave similar results. We modelled laser beam propagation through turbulent atmosphere and obtained numerical data for the distortion of images. The distortion of PSF and the set of resolving functions were found according to the structure function. The problem of compensation of distortions caused by turbulence was solved with the aid of a new local-linear super-resolution method. This method allows to resolve turbulent distortions of PSF at low signal-to-noise ratio.

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Fedor V. Shugaev, Evgeni N. Terentiev, Ludmila S. Shtemenko, Olga I. Dokukina, and Oksana A. Ignateva "Local-linear method of super-resolution for compensation of image distortions using new model of turbulence", Proc. SPIE 5237, Optics in Atmospheric Propagation and Adaptive Systems VI, (6 February 2004); https://doi.org/10.1117/12.511108

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