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首页> 外文期刊>Applied optics >Reconstruction of an object from its Fourier modulus: development of the combination algorithm composed of the hybrid input-output algorithm and its converging part
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Reconstruction of an object from its Fourier modulus: development of the combination algorithm composed of the hybrid input-output algorithm and its converging part

机译:从对象的傅里叶模量重构对象:由混合输入输出算法及其收敛部分组成的组合算法的开发

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摘要

The hybrid input-output algorithm (HIO) used for phase retrieval is in many cases combined with the error-reduction algorithm (ER) to attempt to stabilize the HIO. However, in our previous paper [J. Opt. Soc. Am. A 16, 2163 (1999)], it was demonstrated that this combination makes it more likely that the resultant algorithm will fall into a periodic state before reaching a solution because the values of the input object outside the support, which is imposed as the object-domain constraint, are set to be zero in the intervals in which the ER is implemented. This paper deals with this problem inherent in the combination algorithm. The converging part of the HIO (CPHIO), which is an algorithm we previously developed [J. Opt. Soc. Am. A 15, 2849 (1998)], can be thought of as an extension of the ER for the case in which the input object can have nonzero values outside the support. Keeping this in mind, the algorithm is then constructed by combining the HIO with the CPHIO instead of with the ER. The computer simulation results that demonstrate the effectiveness of the proposed algorithm are given.
机译:在许多情况下,用于相位检索的混合输入输出算法(HIO)与减少误差算法(ER)结合使用,以尝试稳定HIO。但是,在我们以前的论文中[J.选择。 Soc。上午。 [16,2163(1999)],证明了这种组合使所得算法更有可能在到达解决方案之前落入周期性状态,因为输入对象的值在支持对象之外,被强加为对象-域约束在实施ER的间隔中设置为零。本文讨论了组合算法中固有的问题。 HIO(CPHIO)的收敛部分,这是我们先前开发的算法[J.选择。 Soc。上午。对于输入对象在支持范围外可以具有非零值的情况,可以将15、2849(1998)]视为ER的扩展。牢记这一点,然后通过将HIO与CPHIO而不是与ER结合来构造算法。给出了计算机仿真结果,证明了该算法的有效性。

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