Cusack R, Huntley J M, Goldrein H T
Appl Opt. 1995 Feb 10;34(5):781-9. doi: 10.1364/AO.34.000781.
An algorithm for unwrapping noisy phase maps has recently been proposed, based on the identification of discontinuity sources that mark the start or end of a 2π phase discontinuity. Branch cuts between sources act as barriers to unwrapping, resulting in a unique phase map that is independent of the unwrapping route. We investigate four methods for optimizing the placement of the cuts. A modified nearest neighbor approach is found to be the most successful and can reliably unwrap unfiltered speckle-interferometry phase maps with discontinuity source densities of 0.05 sources pixel(-1).
最近提出了一种用于展开噪声相位图的算法，该算法基于识别标记2π相位不连续性起点或终点的不连续源。源之间的分支切割充当展开的障碍，从而产生与展开路径无关的唯一相位图。我们研究了四种优化切割位置的方法。发现一种改进的最近邻方法最为成功，并且能够可靠地展开不连续源密度为0.05个源/像素（-1）的未滤波散斑干涉测量相位图。
