Image based adaptive optics through optimisation of low spatial frequencies
Image based adaptive optics through optimisation of low spatial frequencies
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DOI：
10.1364/oe.15.008176
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发表时间：
2007-06-25
期刊：
影响因子：
3.8
通讯作者：
Wilson, Tony
中科院分区：
文献类型：
--
作者：
Debarre, Delphine;Booth, Martin J.;Wilson, Tony
提出了一种用于非相干成像系统的无波前传感器自适应光学方案。通过基于图像的低空间频率内容的图像质量度量的优化来执行像差校正。获取图像序列，每个图像具有应用的不同像差偏置，并且根据该图像序列中的信息来估计校正像差。它示出，通过表示作为在Lukosz模式中的扩展的像差，不同模式的影响可以被分离。每个模式的优化变得独立，可以作为二次函数的最大化来执行，每个模式只需要三个图像测量。这种有效的校正方案在非相干透射显微镜实验证明。我们表明，不同的像差幅度的灵敏度可以通过改变度量中使用的空间频率的范围来调整。我们还解释了优化方案是如何与其他方法，使用图像清晰度指标。(C)2007年美国光学学会
We present a wave front sensorless adaptive optics scheme for an incoherent imaging system. Aberration correction is performed through the optimisation of an image quality metric based upon the low spatial frequency content of the image. A sequence of images is acquired, each with a different aberration bias applied and the correction aberration is estimated from the information in this image sequence. It is shown, by representing aberrations as an expansion in Lukosz modes, that the effects of different modes can be separated. The optimisation of each mode becomes independent and can be performed as the maximisation of a quadratic function, requiring only three image measurements per mode. This efficient correction scheme is demonstrated experimentally in an incoherent transmission microscope. We show that the sensitivity to different aberration magnitudes can be tuned by changing the range of spatial frequencies used in the metric. We also explain how the optimisation scheme is related to other methods that use image sharpness metrics. (C) 2007 Optical Society of America