变化(天文学)
弹丸
计算机科学
单发
一次性
相(物质)
人工智能
物理
光学
材料科学
工程类
天文
量子力学
机械工程
冶金
作者
Chun-Yuan Chen,Zexin Feng
摘要
The non-interferometric phase retrieval technique is a versatile tool with a wide range of applications including quantitative phase imaging, astronomical imaging, and beam shaping. The single-shot phase retrieval technique, requiring a single measurement, simplifies optical setups but presents implementation challenges. We propose a single-shot phase retrieval method based on automatic differentiation, along with physical constraints and bilateral total variation regularization. The non-convex optimization problem of phase retrieval can be efficiently solved using a gradient descent algorithm, and the model incorporating prior knowledge effectively characterizes the phase features. Simulation results demonstrate that our method achieves high-quality phase reconstruction with noise robustness. The proposed framework is flexible, easy to extend, and has great potential for addressing various phase retrieval challenges.
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