摘要
相位解包算法主要分为路径相关算法和路径无关算法,广泛应用于光学测量领域。针对残差相位中含有噪声的问题,提出了改进的基于全变分最小去噪的路径无关相位解包算法。首先在包裹相位图中求出相位梯度,然后用全变分最小方法对相位梯度图去噪,通过积分获得近似的相位解包图,并进一步去除了残差相位图中的噪声,经多次迭代获得最终的相位解包图。通过仿真和实验对比了去除噪声前后解包相位与原始相位的误差。结果表明,残差相位去噪后得到解包相位的峰谷值、均方根值误差均小于未去噪的情况。
The phase unwrapping algorithms are divided into the path-dependent type and the path-independent type, and can be widely used in the field of optical measurements. An improved path-independent phase unwrapping algorithm based on total-variation minimum denoising is proposed to wipe off the remained noise in the residual phase. Firstly, the phase gradient is determined from the wrapped phase map and subsequently denoised by the total-variation minimization based method. Thus, an approximate phase unwrapped map can be obtained by integrating the denoised phase gradient, and the residual phase map is denoised. The final phase unwrapped map is subsequently determined by adding the first few modes of the unwrapped phase. Error values of unwrapped phase before and after denoising are compared with the original phase by simulations and experiments. The results show that the values of peak-valley and root-mean-square of unwrapped phase with residual phase denoised are lower than those of unwrapped phase with residual phase not denoised.
出处
《激光与光电子学进展》
CSCD
北大核心
2016年第12期133-140,共8页
Laser & Optoelectronics Progress
基金
国家自然科学基金(6140030594)
关键词
测量
相位测量
相位解包
路径无关解包
相位梯度
全变分最小去噪
measurement
phase measurement
phase unwrapping
path-independent unwrapping
phase gradient
total-variation minimum denoising
