Paper
7 July 2000 Digital adaptation algorithms of adaptive optics corrected images
Sergey D. Polskikh, Konstantin N. Sviridov
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Abstract
The technology is considered of space object image obtainment with high angular resolution, based on the adaptive tuning of image spatial spectra (digital adaptation), corrected by adaptive optics. As the basis of the technology, the algorithm is taken of the integral equation of the I-st kind of convolution type with unknown core and imprecisely given right part. It's shown the procedure of the inverse operator construction for this equation solution is connected with minimization of nonlinear regularizing multiextremel functionals and could be realized on the base of global optimization methods. The structure of multiextremel functionals is analyzed, and the main global extremum search methods are researched. It is shown, that as the basis of the optimal construction of the channel for the obtainment of images with high resolution, the principle must be taken of the sequential reduction of the global extremum search space dimensionality, and what's more, the predetector processing of the wavefront by the adaptive optics is the first stage of this reduction. The results are given of numerical modelling including the examples of the distorted and restorated images of model objects under different signal-to-noise ratios.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sergey D. Polskikh and Konstantin N. Sviridov "Digital adaptation algorithms of adaptive optics corrected images", Proc. SPIE 4007, Adaptive Optical Systems Technology, (7 July 2000); https://doi.org/10.1117/12.390382
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KEYWORDS
Image processing

Adaptive optics

Optical transfer functions

Image restoration

Image resolution

Error analysis

Optical signal processing

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