Ptychography Using Blind Multi-Mode PMACE

IF 4.8 2区 计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Qiuchen Zhai;Gregery T. Buzzard;Kevin M. Mertes;Brendt Wohlberg;Charles A. Bouman
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引用次数: 0

Abstract

Ptychography is an imaging technique that enables nanometer-scale reconstruction of complex transmittance images by scanning objects with overlapping X-ray illumination patterns. However, the illumination function is typically unknown and only partially coherent, which presents challenges for reconstruction. In this paper, we introduce Blind Multi-Mode Projected Multi-Agent Consensus Equilibrium (BM-PMACE) for blind ptychographic reconstruction. BM-PMACE jointly estimates both the complex transmittance image and the multi-modal probe functions associated with a partially coherent probe source. Importantly, BM-PMACE maintains a location-specific probe state that captures spatially varying probe aberrations. Our method also incorporates a dynamic strategy for integrating additional probe modes. Our experiments on synthetic and measured data demonstrate that BM-PMACE outperforms existing approaches in reconstruction quality and convergence rate.
使用盲多模pace的平面摄影
平面摄影是一种成像技术,通过扫描具有重叠x射线照明模式的物体,可以在纳米尺度上重建复杂的透射率图像。然而,光照函数通常是未知的,并且只有部分相干,这给重建带来了挑战。本文引入盲多模式投影多智能体共识均衡(bm - pace),用于盲型图重建。bm - pace联合估计复合透射率图像和与部分相干探测源相关的多模态探测函数。重要的是,bm - pace维护特定于位置的探针状态,该状态捕获空间变化的探针畸变。我们的方法还采用了一种动态策略来集成额外的探测模式。我们在合成数据和实测数据上的实验表明,bm - pace在重建质量和收敛速度方面优于现有方法。
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来源期刊
IEEE Transactions on Computational Imaging
IEEE Transactions on Computational Imaging Mathematics-Computational Mathematics
CiteScore
8.20
自引率
7.40%
发文量
59
期刊介绍: The IEEE Transactions on Computational Imaging will publish articles where computation plays an integral role in the image formation process. Papers will cover all areas of computational imaging ranging from fundamental theoretical methods to the latest innovative computational imaging system designs. Topics of interest will include advanced algorithms and mathematical techniques, model-based data inversion, methods for image and signal recovery from sparse and incomplete data, techniques for non-traditional sensing of image data, methods for dynamic information acquisition and extraction from imaging sensors, software and hardware for efficient computation in imaging systems, and highly novel imaging system design.
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