Restoration of lunar occultation scans

Mathematics

Scientific paper

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Computerized Simulation, Image Reconstruction, Lunar Occultation, Optical Data Processing, Algorithms, Computer Programs, Data Smoothing, Fresnel Diffraction, Points (Mathematics)

Scientific paper

A very general least squares algorithm for the retrieval of the shape of
an object from images blurred by an arbitrary, and only partly known,
point spread function was applied to a simulated scan of an optical
lunar occultation. Although a dynamical smoothing is included in the
algorithm to suppress the noise, an excellent resolution is achieved.

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