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Digital Adaptation Algorithms of Adaptive Optics Corrected Images

机译:自适应光学校正图像的数字自适应算法

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The technology is considered of space object image obtainment with high angular resolutin,based on the adaptive tuning of image spatial spectra (digital adaption), 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 unprecizely given right part. It's shown the procedure of the inverse operator construction for this equation solution is connected with minimization of nonlinear regularizing multiextremeal functionals and could be realized on the base of global optimization methods. The structure of multiextremel functionals is analysed, 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 ddimensionality, 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 numericla modelling including the examples of the distorted and restorated images of model objects under different signal-to-noise ratios.
机译:该技术被认为是基于对图像空间光谱的自适应调整(数字自适应),并通过自适应光学器件进行校正,从而获得具有高角度分辨力的空间物体图像。作为该技术的基础,该算法采用核数未知的I-st型卷积类型的积分方程,并且给出的部分精度不高。证明了该方程解的逆算子构造过程与非线性正则化极值泛函的最小化有关,并且可以在全局优化方法的基础上实现。分析了多种极值功能的结构,并研究了主要的全局极值搜索方法。结果表明,作为获得高分辨率图像的通道的最佳构造的基础,必须采取以下原则:依次减小全局极值搜索空间维数,并且,对图像进行预处理。自适应光学器件的波前是这种减小的第一步。给出了数值建模的结果,其中包括在不同信噪比下模型对象的失真图像和恢复图像的示例。

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