标题： 带有图像先验的欠采样相位恢复 显示英文标题

标题： Undersampled Phase Retrieval with Image Priors

摘要： 相位恢复旨在从仅幅度的测量中恢复复信号，这是一个具有挑战性的非线性逆问题。 当前的理论和算法常常忽略信号先验信息。 相比之下，我们在结构化随机傅里叶测量下的严重欠采样背景下评估了多种图像先验。 我们的结果表明，这些先验显著提高了重建效果，即使在弱恢复阈值以下也能实现准确重建。 显示英文摘要

摘要： Phase retrieval seeks to recover a complex signal from amplitude-only measurements, a challenging nonlinear inverse problem. Current theory and algorithms often ignore signal priors. By contrast, we evaluate here a variety of image priors in the context of severe undersampling with structured random Fourier measurements. Our results show that those priors significantly improve reconstruction, allowing accurate reconstruction even below the weak recovery threshold.