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Computer Science > Information Theory

arXiv:2510.02989 (cs)
[Submitted on 3 Oct 2025 ]

Title: Transport of Event Equation: Phase Retrieval from Defocus Events

Title: 事件方程的传输:从离焦事件中进行相位恢复

Authors:Kaito Hori, Chihiro Tsutake, Keita Takahashi, Toshiaki Fujii
Abstract: To time-efficiently and stably acquire the intensity information for phase retrieval under a coherent illumination, we leverage an event-based vision sensor (EVS) that can detect changes in logarithmic intensity at the pixel level with a wide dynamic range. In our optical system, we translate the EVS along the optical axis, where the EVS records the intensity changes induced by defocus as events. To recover phase distributions, we formulate a partial differential equation, referred to as the transport of event equation, which presents a linear relationship between the defocus events and the phase distribution. We demonstrate through experiments that the EVS is more advantageous than the conventional image sensor for rapidly and stably detecting the intensity information, defocus events, which enables accurate phase retrieval, particularly under low-lighting conditions.
Abstract: 为了在相干照明下高效且稳定地获取相位恢复的强度信息,我们利用了一种基于事件的视觉传感器(EVS),该传感器可以在像素级别以宽动态范围检测对数强度的变化。 在我们的光学系统中,我们将EVS沿光轴方向移动,其中EVS记录由离焦引起的强度变化作为事件。 为了恢复相位分布,我们建立了一个偏微分方程,称为事件传输方程,它展示了离焦事件与相位分布之间的线性关系。 我们通过实验表明,与传统图像传感器相比,EVS在快速且稳定地检测强度信息和离焦事件方面更具优势,这使得在低光照条件下能够准确地进行相位恢复。
Subjects: Information Theory (cs.IT)
Cite as: arXiv:2510.02989 [cs.IT]
  (or arXiv:2510.02989v1 [cs.IT] for this version)
  https://doi.org/10.48550/arXiv.2510.02989
arXiv-issued DOI via DataCite

Submission history

From: Chihiro Tsutake [view email]
[v1] Fri, 3 Oct 2025 13:27:54 UTC (4,326 KB)
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