相位恢复
斑点图案
算法
计算机科学
迭代法
干扰(通信)
迭代重建
对象(语法)
相(物质)
人工智能
还原(数学)
散斑噪声
计算机视觉
数学
物理
傅里叶变换
量子力学
计算机网络
几何学
频道(广播)
数学分析
作者
Jiahuan Li,Chenfei Jin,Siqi Zhang,Mong‐Han Huang,Yuan Zhao
摘要
Direct detection imaging in complex, inhomogeneous media is a difficult challenge due to the existence of multiple scattering. One way used to extract the information of the object from the speckle pattern is to use speckle correlation based on the memory effect, and the object is recovered by an iterative phase retrieval algorithm. Here we report a new iterative phase retrieval algorithm that is referred to as the absolute output (AO) Gerchberg-Saxton algorithm and can single-shot ultra-fast reconstruct the object image. Different from the error reduction (ER) algorithm and hybrid input-output (HIO) algorithm, this algorithm does not need to satisfy the non-negative constraints. We experimentally demonstrate that the reconstructed image achieved by our algorithm is faster, more reliable, and more consistent. Our method has strong anti-interference ability, which has great potential in imaging through turbid medium such as fog and biological tissue.
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