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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:基于自适应光学器件校正的图像空间谱(数字适应)的自适应调整,通过高角度复合蛋白考虑该技术。作为技术的基础,算法采用了卷积型的I-ST种类型的整体方程,并具有未知的核心和右前方。结果示出了该等式解决方案的逆操作员结构的过程与非线性正则大小的多觉功能的最小化连接,并且可以在全局优化方法的基础上实现。分析了Multiextremel功能的结构,并研究了主要的全球极值搜索方法。如图所示,即作为高分辨率获得图像的通道的最佳结构的基础,必须采取原理的全局极值搜索空间的平整减少,以及更重要的是,预先乘客处理自适应光学通过自适应光学的波前是这种减少的第一阶段。结果是NumericLA建模,包括在不同信噪比下模型对象的扭曲和修复图像的示例。

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