Turbulent image reconstruction from a superposition model

Details Turbulent image reconstruction from a superposition model Turbulent image reconstruction from a superposition model

May 1993

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1993optco..98..241f&link_type=abstract

Optics Communications, Volume 98, Issue 4-6, p. 241-244.

Physics

Optics

6

Scientific paper

Imagery through random atmospheric turbulence is modelled as a stochastic superposition process. By this model, each short-exposure spread function is a superposition of randomly weighted and displaced versions of (ideally) one intensity profile, e.g. an Airy disc. In principle, this allows an object scene to be reconstructed from but two short-exposure images, and without the need for a point reference source in the field. A computational approach has been found implementing the reconstruction of simple objects. Some computer-simulated demonstrations of the approach are given. Generalization of the approach to more complex objects is currently under development.

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