In the multirotation computational imaging system (MRCI), the rotation angle of the cylindrical lens is vital to the reconstruction results from the experimental data. However, the rotation angles of the cylindrical lens are hard to be measured directly and precisely. High-precision angle evaluation methods are urgently needed to improve the recovered images. This paper proposes an angle estimation scheme based on principal component analysis (PCA), which can calculate the rotation angle of the cylindrical lens efficiently and accurately. Its accuracy is an order of magnitude higher than that of the existing methods. The proposed method is also stable for the image reconstruction when testing complex samples and under defocusing case.

在多旋转计算成像系统 (MRCI) 中，柱面透镜的旋转角度对实验数据的重建结果至关重要。然而，柱面透镜的旋转角度难以直接且精确地测量。迫切需要高精度的角度评估方法来改进恢复的图像。本文提出了一种基于主成分分析（PCA）的角度估计方案，可以高效、准确地计算柱面透镜的旋转角度。其精度比现有方法高一个数量级。在测试复杂样本和散焦情况下，所提出的方法对于图像重建也是稳定的。