为了得到所需的相位信息, 必须克服噪声、条纹断裂及欠采样等各类不利因素的影响, 针对该问题, 在处理严重欠采样问题时采用了径向剪切的原理, 由包裹相位构建出初始的光场, 并对该光场进行多次数字缩放, 计算它们之间的相位差, 将一个困难的问题分解为多个较为简单的问题进行处理, 从而得到需要的解包裹相位。在理论分析的基础上给出了具体的相位解包裹算法, 模拟计算和实验都表明了该方法的可行性。结果表明, 该方法能较好地处理严重欠采样问题, 相比传统的解包裹算法适用性更广。

In order to find the phase information, the noise, the shadow, fringe break, under-sampling and other adverse factors must be overcome. When processing the under-sampling problem, the radial shearing method was introduced into phase-unwrapping process, in which a phase image for unwrapping was obtained by shearing a wrapped phase reconstructed by a wrapped phase built numerically after zooming the original one for several times so that the difficult problem becomes multiple simpler problems. The simulation and experimental results prove that the proposed algorithm can deal with the wrapped phase of serious under-samplings. Compared with the traditional unwrapping algorithms, this algorithm has a wider application.