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Adaptive Cross-Correlation Algorithm and Experiment of Extended Scene Shack-Hartmann Wavefront Sensing

机译:扩展场景Shack-Hartmann波前传感的自适应互相关算法与实验

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摘要

We have developed a new, adaptive cross-correlation (ACC) algorithm to estimate with high accuracy the shift as large as several pixels in two extended-scene images captured by a Shack-Hartmann wavefront sensor (SH-WFS). It determines the positions of all extended-scene image cells relative to a reference cell using an FFT-based iterative image-shifting algorithm. It works with both point-source spot images as well as extended scene images. We have also set up a testbed for extended-scene SH-WFS, and tested the ACC algorithm with the measured data of both point-source and extended-scene images. In this paper we describe our algorithm and present our experimental results.
机译:我们已经开发了一种新的自适应互相关(ACC)算法,以高精度估算Shack-Hartmann波前传感器(SH-WFS)捕获的两个扩展场景图像中多达几个像素的偏移。它使用基于FFT的迭代图像平移算法确定所有扩展场景图像单元相对于参考单元的位置。它适用于点源点图像和扩展场景图像。我们还为扩展场景SH-WFS建立了一个测试平台,并使用点源图像和扩展场景图像的测量数据测试了ACC算法。在本文中,我们描述了我们的算法并给出了实验结果。

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