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

机译:延长场景棚哈特曼波前感应的自适应互相关算法与实验

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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,以高精度地估计,在由Shack-Hartmann波前传感器(SH-WFS)捕获的两个延伸场景图像中的偏移中的变化。它使用基于FFT的迭代图像移位算法确定所有扩展场景图像单元相对于参考单元的位置。它适用于两个点源点图像以及扩展场景图像。我们还为扩展场景SH-WFS设置了一个测试平台,并使用点源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呈现了我们的实验结果。

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