摘要
对存在欠采样的包裹相位进行解包裹一直是一个难点,尽管横向剪切最小二乘相位解包裹算法有不错的抗欠采样能力,但当存在严重欠采样时,该算法还是不能得到令人满意的结果。针对这个问题作了分析,并通过引入二次剪切的方法改进了横向剪切最小二乘相位解包裹算法,通过模拟计算和实验验证,证明改进后的算法是正确和有效的,该算法可以保证当包裹相位二阶离散导数的绝对值不大于π时能得到正确的解包裹结果。
It is a tough question to obtain an unwrapping phase when the under-sampling happens. Although the least-square algorithm based on lateral shearing interferometry （LSBLS） has good anti-sub sampling ability, a satisfactory result can not be obtained when the under-sampling is serious. To solve this problem, a corresponding analysis is presented and the LSBLS algorithm is improved by introducing a second shearing. The validity of this improved algorithm is showed in one simulated result and one experimental result. It is promised, by the algorithm, the validity of unwraped phase, when the absolute value of discrete secondary derivative of wrapped phase is less than π.
出处
《中国激光》
EI
CAS
CSCD
北大核心
2012年第11期193-197,共5页
Chinese Journal of Lasers
基金
国家自然科学基金(61067004
60907002)资助课题
关键词
物理光学
相位解包裹
算法
横向剪切
最小二乘
physical optics
phase unwrapping
algorithm
lateral shearing
least-square
