Phase retrieval from fringe pattern with 1-D discrete wavelet transform
Phase retrieval from fringe pattern with 1-D discrete wavelet transform
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DOI：
10.1016/j.optlaseng.2011.08.003
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发表时间：
2012-02
影响因子：
4.6
通讯作者：
Shi-lin Cui;De-hua Li;Qingguang Li
中科院分区：
文献类型：
--
作者：
Shi-lin Cui;De-hua Li;Qingguang Li
提出了一种从单个条纹图中提取调频信号的新方法。首先采用一维离散Meyer小波对图像信号进行逐行分解，并采用软阈值法去除噪声;然后将小波分解的低频系数设置为0，并且重构信号。此外，最佳的小波分解水平是自适应确定使用的成本函数为基础的方法。重建的信号，它不再包含背景分量，使用非线性和分段归一化方法进行归一化。与其他相位恢复方法相比，该方法具有更快的速度和更高的精度。
This paper proposes a novel method to obtain frequency modulation (FM) signals from a single fringe pattern for phase retrieval. First, a 1D discrete Meyer wavelet is employed to decompose the pattern image signal row by row and the soft-thresholding approach is applied to remove noise. The low frequency coefficients of the wavelet decomposition are then set to 0, and the signal is reconstructed. Moreover, the optimal wavelet decomposition level is adaptively determined using a cost function-based method. The reconstructed signal, which no longer contains a background component, is normalized using a nonlinear and piecewise normalization method. The proposed method is faster and more accurate than some other phase retrieval approaches, which is illustrated with two test cases.