Paper
4 September 2015 Efficient and physically accurate modeling and simulation of anisoplanatic imaging through the atmosphere: a space-variant volumetric image blur method
Colin N. Reinhardt, James A. Ritcey
Author Affiliations +
Abstract
We present a novel method for efficient and physically-accurate modeling & simulation of anisoplanatic imaging through the atmosphere; in particular we present a new space-variant volumetric image blur algorithm. The method is based on the use of physical atmospheric meteorology models, such as vertical turbulence profiles and aerosol/molecular profiles which can be in general fully spatially-varying in 3 dimensions and also evolving in time. The space-variant modeling method relies on the metadata provided by 3D computer graphics modeling and rendering systems to decompose the image into a set of slices which can be treated in an independent but physically consistent manner to achieve simulated image blur effects which are more accurate and realistic than the homogeneous and stationary blurring methods which are commonly used today. We also present a simple illustrative example of the application of our algorithm, and show its results and performance are in agreement with the expected relative trends and behavior of the prescribed turbulence profile physical model used to define the initial spatially-varying environmental scenario conditions. We present the details of an efficient Fourier-transform-domain formulation of the SV volumetric blur algorithm and detailed algorithm pseudocode description of the method implementation and clarification of some nonobvious technical details.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Colin N. Reinhardt and James A. Ritcey "Efficient and physically accurate modeling and simulation of anisoplanatic imaging through the atmosphere: a space-variant volumetric image blur method", Proc. SPIE 9614, Laser Communication and Propagation through the Atmosphere and Oceans IV, 961408 (4 September 2015); https://doi.org/10.1117/12.2188513
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KEYWORDS
Atmospheric modeling

Point spread functions

3D modeling

Atmospheric physics

Image processing

Turbulence

Systems modeling

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