Coherent modulation imaging (CMI) has been shown to be an effective lensless diffraction approach to imaging general extended samples with fast algorithmic convergence and high robustness to data imperfection. In the reported phasing algorithms of CMI, an exact knowledge of modulator is used as a priori. Extra characterization of the modulator is thus required before the CMI experiments are conducted and this can be cumbersome. Here we propose a modulator refinement algorithm that allows for modulator refinement in the same iterative process of image reconstruction. We demonstrate the method for both near-field and far-field geometries in simulations and for a far-field experiment. A relaxed requirement on exactly knowing the modulator would turn CMI into a standalone technique and make it much easier to implement, thus open up its wider applications in biology and materials science.

中文翻译：

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相干调制成像的调制器细化算法

相干调制成像 (CMI) 已被证明是一种有效的无透镜衍射方法，可对具有快速算法收敛性和对数据缺陷的高鲁棒性的一般扩展样本进行成像。在已报告的 CMI 定相算法中，调制器的确切知识被用作先验知识。因此在进行 CMI 实验之前需要对调制器进行额外的表征，这可能很麻烦。在这里，我们提出了一种调制器细化算法，该算法允许在图像重建的相同迭代过程中进行调制器细化。我们在模拟和远场实验中演示了用于近场和远场几何形状的方法。对准确了解调制器的宽松要求将使 CMI 成为一种独立的技术，并使其更容易实现，