在数字全息的再现过程中,需要对大量相位包裹图像进行解包裹处理,因此加快解包裹算法的运行速度是实现数字全息实时成像应用的关键。研究了基于GPU的快速相位解包裹算法。将无权最小二乘解包裹算法的主要计算过程转移到GPU中并行运算,并记录解包裹程序所需的时间。研究结果表明,与CPU独立运算相比,基于GPU的最小二乘解包裹算法运行速度得到了显著地提高,对于尺寸为512 pixels×512 pixels的包裹相位图,解包裹速度提高了10倍。

In order to realize the real-time analysis and observation of dynamic objects, the speed of digital reproduction must be considered in digital holography. A large number of wrapped phase images must be unwrapped in the reconstruction process. To accelerate phase unwrapping is the key to digital holographic real-time imaging application, which can greatly shorten the time of reconstructing phase images. An algorithm of speeding up phase unwrapping algorithm is studied by using heterogeneous computing with CPU+GPU(Graphic Processing Unit). The main computational process of the unweighted least square unwrapping algorithm is transferred to GPU. And the algorithm records the running time. It is found that GPU improves the computational efficien