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Phase error estimation with broadband white light by phase diversity

机译:通过相位分集估计宽带白光的相位误差

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The technique of Phase Diversity (PD) is widely adopted to measure the wavefront error caused by atmosphere turbulence and system error. PD solves the Zernike coefficients of the wavefront by utilizing two images obtained with different defocus value. In this paper, we propose a method to restore the image and estimate the wavefront error of an imaging system. And we use present white noises to verify the robustness of the algorithm. We design an experiment system and implement it in our laboratory. The proposed algorithm is validated by computer simulations and experimental results. To use a broadband white object in experimental system a reasonable simplification for the system model is done. Our results show that the robustness against Gaussian white noises of the method is better then the case when the variance value is 0.03. The proposed method can be used as a wavefront sensor and restore the degradative images by photoelectric image system.
机译:相位分集(PD)技术被广泛用于测量由大气湍流和系统误差引起的波前误差。 PD通过利用获得的散焦值不同的两个图像来求解波前的Zernike系数。在本文中,我们提出了一种还原图像并估计成像系统波前误差的方法。并且我们使用当前的白噪声来验证算法的鲁棒性。我们设计了一个实验系统,并在我们的实验室中实施了该系统。计算机仿真和实验结果验证了该算法的有效性。为了在实验系统中使用宽带白色物体,需要对系统模型进行合理的简化。我们的结果表明,该方法对高斯白噪声的鲁棒性优于方差值为0.03的情况。所提出的方法可以用作波前传感器,并通过光电图像系统恢复退化图像。

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