Abstract: Recently, it has been shown that least squares phase estimators require the determination of a hidden phase to properly reconstruct a field that contains branch points. The branch points, resulting from zeros in the complex field, occur at random locations. These branch points introduce discontinuities in the 2D phase function that have a magnitude of 2$pi@. Conventional least squares and minimum variance phase reconstructors do not properly sense these discontinuities and therefore have difficulty in reconstructing the field resulting from a coherently illuminated object. Preliminary investigations are made in determining the utility of the hidden phase to the minimum variance based phase reconstructors. A simple 2D image model is reconstructed using the hidden phase adjustments.!3
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机译：摘要：最近，有证据表明，最小二乘相位估计器需要确定隐藏相位才能正确重建包含分支点的场。由复数字段中的零产生的分支点出现在随机位置。这些分支点在2D相位函数中引入不连续性，其大小为2 $ pi @。常规的最小二乘和最小方差相位重建器不能正确地感测这些不连续性，因此难以重建由相干照明的物体产生的场。在确定隐藏相位对基于最小方差的相位重构器的实用性方面进行了初步研究。使用隐藏的相位调整来重建简单的2D图像模型!! 3
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