基于调制区域扩展与重叠重建的并行单像素成像
Parallel single-pixel imaging based on modulation region expansion and overlapping reconstruction
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中文总结 AI 辅助
该研究针对并行单像素成像校准繁琐且对噪声敏感的问题，提出基于调制区域扩展与重叠重建的策略，实现更优成像质量与鲁棒性，简化了工作流程，适用于高分辨率高速计算成像。
中文摘要 AI 辅助
并行单像素成像（PSPI）提升了单像素成像的数据采集效率，但其重建质量依赖繁琐且对噪声敏感的校准过程。为应对这一挑战，本文提出一种利用调制区域扩展与重叠重建的PSPI策略，该方法可对每个探测器的子区域调制进行校准，支持欠采样数据下的鲁棒操作。它通过调制区域扩展与重叠重建补偿错位，实现无缝高质量成像，在模拟与实验中均优于传统PSPI。此外，该策略展现出优异的鲁棒性，在阵列探测器与调制器存在大偏角等极端非理想条件下仍能保持高成像质量。本研究提供了一种简单、高效且鲁棒的框架，简化了PSPI工作流程，在高分辨率、高速计算成像领域具有广泛适用性。
英文摘要
Parallel single-pixel imaging (PSPI) enhances the data acquisition efficiency of single-pixel imaging, but its reconstruction quality depends on a cumbersome and noise-sensitive calibration process. To address this challenge, a PSPI strategy was introduced that leverages modulation region expansion and overlapping reconstruction. This method results in the calibration of modulation of the subregion for each detector, enabling robust operations with undersampled data. It compensates for misalignment via modulation region expansion and overlapping reconstruction, achieving seamless and high-quality imaging that surpasses conventional PSPI in simulations and experiments. Furthermore, this strategy exhibits remarkable robustness, maintaining high imaging quality under extremely nonideal conditions, such as large deflection angles between the array detector and the modulator. This work provides a simple, efficient, and robust framework that simplifies the PSPI workflow and offers broad applicability in high-resolution, high-speed computational imaging.
