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基于秩信息滤波器的相位展开算法。

Phase unwrapping algorithm based on a rank information filter.

作者信息

Xie Xianming, Liu Yuanyuan, Shou Zhaoyu, Zeng Qingning, Wang Guofu, Huang Qingnan, Gao Xi

出版信息

Appl Opt. 2021 Aug 1;60(22):6648-6658. doi: 10.1364/AO.428181.

Abstract

A robust phase unwrapping algorithm based on a rank information filter is proposed to retrieve the unambiguous unwrapped phase from noisy wrapped phase images. First, a recursive phase unwrapping program, based on a rank information filter, is proposed to transform the problem of phase unwrapping for wrapped phase into the problem of the state estimation for state variables under the framework of a rank information filter, where a local phase gradient estimator based on the amended matrix pencil model (AMPM) is used to obtain phase gradient information required by the recursive phase unwrapping program. Second, an efficient path-following strategy based on heap-sort is used to guide the phase unwrapping path, which ensures that the recursive phase unwrapping program based on a rank information filter unwraps wrapped phase images along the path from high-quality pixels to low-quality pixels. Finally, the results obtained from synthetic data and experimental measured data demonstrate the effectiveness of the proposed method and show this method can obtain robust solutions from noisy wrapped phase images.

摘要

提出了一种基于秩信息滤波器的稳健相位展开算法,用于从噪声包裹相位图像中恢复明确的展开相位。首先,提出了一种基于秩信息滤波器的递归相位展开程序,将包裹相位的相位展开问题转化为秩信息滤波器框架下状态变量的状态估计问题,其中基于修正矩阵束模型(AMPM)的局部相位梯度估计器用于获取递归相位展开程序所需的相位梯度信息。其次,采用基于堆排序的高效路径跟踪策略来引导相位展开路径,确保基于秩信息滤波器的递归相位展开程序沿着从高质量像素到低质量像素的路径对包裹相位图像进行展开。最后,从合成数据和实验测量数据获得的结果证明了所提方法的有效性,并表明该方法能够从噪声包裹相位图像中获得稳健的解。

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