用半二次分裂框架提升相位恢复成像的精度与抗噪能力
Plug-and-Play Half-Quadratic Splitting for Ptychography
- 引入半二次分裂框架融合数据驱动先验
- 在自然图像和真实样品上均实现更高质量重建
- 特别适合低重叠、高噪声条件下的相位恢复
Ptychography 是一种相干衍射成像方法，通过逐次用相干光束照射样品的重叠区域并记录衍射图样，利用相位恢复技术重建复数图像。尽管该方法可克服传统成像系统的局限，但计算复杂且对噪声敏感，尤其在照明重叠度降低时更为显著。已有研究采用数据驱动的正则化技术改善重建质量，其中插件式（Plug-and-Play, PnP）方法通过将数据驱动去噪器作为隐式先验，具有高度灵活性。本文提出一种针对 ptychography 的半二次分裂（Half-Quadratic Splitting）框架，用于集成 PnP 及其他数据驱动先验。我们在自然图像和真实测试样品上评估了该方法的有效性，验证其在多种条件下的重建性能。
原文摘要 · Abstract (English)
Ptychography is a coherent diffraction imaging method that uses phase retrieval techniques to reconstruct complex-valued images. It achieves this by sequentially illuminating overlapping regions of a sample with a coherent beam and recording the diffraction pattern. Although this addresses traditional imaging system challenges, it is computationally intensive and highly sensitive to noise, especially with reduced illumination overlap. Data-driven regularisation techniques have been applied in phase retrieval to improve reconstruction quality. In particular, plug-and-play (PnP) offers flexibility by integrating data-driven denoisers as implicit priors. In this work, we propose a half-quadratic splitting framework for using PnP and other data-driven priors for ptychography. We evaluate our method both on natural images and real test objects to validate its effectiveness for ptychographic image reconstruction.
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