首页> 外文会议>Conference on Adaptive Optics and Applications II, Oct 15-16, 2002, Shanghai, China >Global wavefront reconstruction algorithm from its image in the focal plane and Shack-Hartmann sensor images
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Global wavefront reconstruction algorithm from its image in the focal plane and Shack-Hartmann sensor images

机译:根据焦平面图像和Shack-Hartmann传感器图像的全局波前重建算法

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The Shack-Hartmann sensor is used for wavefront sensing in adaptive optics. In the conventional use of the Shack-Hartmann sensor, information on the components other than wavefront tilt cannot be obtained. This means that the value of the Strehl ratio of the compensated image is not. so high in spite of the fact that the Shack-Hartmann sensor images have higher order information about the global wavefront. We propose to use both the Shack-Hartmann sensor images and the image in the focal plane of the global wavefront as the constraints in the iterative Fourier transform algorithm proposed by J.R.Fienup. The reconstructed wavefront by using only the information on the gravity center of an image of the Shack-Hartmann sensor is used as an initial estimate in this iterative procedure. The effectiveness of this proposed algorithm is shown by computer simulation results. This proposed algorithm converged to an adequate wavefront rapidly without suffering from the stagnation problem and it showed good performance even in the case in which measured images were contaminated by photon noise.
机译:Shack-Hartmann传感器用于自适应光学中的波前感测。在Shack-Hartmann传感器的常规使用中,无法获得除波阵面倾斜以外的其他组件的信息。这意味着补偿图像的斯特列尔比值不是。尽管Shack-Hartmann传感器图像具有有关全局波前的高阶信息,但仍然很高。我们建议同时使用Shack-Hartmann传感器图像和全局波前焦平面中的图像作为J.R.Fienup提出的迭代傅立叶变换算法的约束。在此迭代过程中,仅通过使用Shack-Hartmann传感器图像重心上的信息重建的波前被用作初始估计。计算机仿真结果表明了该算法的有效性。所提出的算法快速收敛到足够的波前,而不会出现停滞问题,即使在被测图像被光子噪声污染的情况下,它也表现出良好的性能。

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