Abstract
The effectiveness of the reconstruction of images formed by single- and multi-aperture systems and distorted by an atmospheric turbulence is analyzed in this work. Based on numerical simulation, we show that the use of multi-aperture observation systems for the computer correction of atmospheric distortions under anisoplanar conditions can significantly reduce the exposure time. Main distortions are well corrected during image synthesis for a short exposure time, which corresponds to a “frozen” turbulence. The time required for the correction of residual small-scale distortions is an order of magnitude shorter than in the case of synthesis of long-exposure images with the use of traditional single-aperture observation systems.
Highlights
Methods for post-detection correction of images are often used in observations of distant objects through the atmosphere
If an object is observed through the atmosphere along horizontal paths, short-exposure images formed during a time substantially shorter than the time of correlation of turbulent air inhomogeneities are characterized by strongly anisoplanar distortions, which is a significant obstacle in computer reconstruction of images using deconvolution algorithms
The quality of a reconstructed image of a singleaperture observation system synthesized of longexposure images noticeably improves when the number of short exposures NSE > 100
Summary
Methods for post-detection (computer) correction of images are often used in observations of distant objects through the atmosphere. One of the most effective approaches to computer correction is based on the solution of the inverse problem of retrieval of the structure of an object from its blurred image [1, 2]. An alternative to the long-exposure method for the formation of isoplanar distorted images is an approach based on the division of the receiving aperture [1, 7,8]. This approach can be implemented in multi-aperture systems when several identical subimages are simultaneously recorded: the number of subimages is determined by the number of receiving subapertures. We compare the effectiveness of the reconstruction of turbulence-distorted images when using single-aperture and multi-aperture observation systems
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