.png){kind=icon}
返回
Sparse ACEKF for phase reconstruction
.png){kind=icon}
OA
AI
DOI：10.1364/OE.21.018125.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
We propose a novel low-complexity recursive filter to efficiently recover quantitative phase from a series of noisy intensity images taken through focus. We first transform the wave propagation equation and nonlinear observation model (intensity measurement) into a complex augmented state space model. From the state space model, we derive a sparse augmented complex extended Kalman filter (ACEKF) to infer the complex optical field (amplitude and phase), and find that it converges under mild conditions. Our proposed method has a computational complexity of NzN log N and storage requirement of O(N), compared with the original ACEKF method, which has a computational complexity of O(NzN3) and storage requirement of O (N-2), where N-z is the number of images and N is the number of pixels in each image. Thus, it is efficient, robust and recursive, and may be feasible for real-time phase recovery applications with high resolution images. (C) 2013 Optical Society of America
Keyword:
TRANSPORT
IMAGE
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.3
论文数:
6.1W
被引数:
14.3W
机构
引用论文
Electronic and optoelectronic properties of van der Waals heterostructure based on graphene-like GaN, blue phosphorene, SiC, and ZnO: A first principles study基于类石墨烯GaN，蓝色磷烯，SiC和ZnO的范德华异质结构的电子和光电性质: 第一性原理研究
PREAI
分享收藏Transport of Intensity phase-amplitude imaging with higher order intensity derivatives.png)
OPTICS EXPRESS
OAAI
OPTICS EXPRESSIF3.3
OAAI分享收藏Wave-front reconstruction from a sequence of interferograms recorded at different planesOPTICS LETTERS
OPTICS LETTERSIF3.3
PREAI
分享收藏分享收藏
查看更多内容