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Precision influence of a phase retrieval algorithm in fractional Fourier domains from position measurement error

机译:位置测量误差对分数阶傅里叶域中相位检索算法的精度影响

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摘要

An iterative structure of amplitude-phase retrieval (APR) was proved to obtain more accurate reconstructed data of both amplitude and phase. However, there is not enough analysis of the precise influence from position measurement error and corresponding error correction. We apply the APR in fractional Fourier domains to reconstruct a sample image and describe the corresponding optical implementation. The error model is built to discuss the distribution of the position measurement error. A corrective method is applied to amend the error and obtain a better quality of retrieved image. The numerical results have demonstrated that our methods are feasible and useful to correct the error for various circumstances. (C) 2015 Optical Society of America
机译:振幅-相位检索(APR)的迭代结构被证明可以获取更准确的振幅和相位数据。然而,对于位置测量误差和相应的误差校正的精确影响没有足够的分析。我们在分数傅立叶域中应用APR来重构样本图像并描述相应的光学实现。建立误差模型以讨论位置测量误差的分布。应用校正方法来修正误差并获得更好的检索图像质量。数值结果表明,我们的方法对于纠正各种情况下的误差是可行和有用的。 (C)2015年美国眼镜学会

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