基于像素级偏振相机的超像素校正

Super-pixel calibration method of pixelated polarization camera

针对像素级偏振相机中偏振片单元由于刻划精度和透过率的差异导致偏振片阵列的非均匀性,提出了一种带有角度约束的最小二乘超像素校正方法。建立了带有角度约束的校正优化算法的数学模型,加入了超像素的标量增益和暗补偿参数。最后,搭建了以微偏振片为核心的积分球标定系统,进行了仿真实验和成像实验。结果表明:与最小二乘法相比,本文算法在有效地校正偏振度和非均匀性的同时也校正了超像素内振幅的非均匀性,重建角度的准确度提高了10%。经过插值处理后,边缘表现更为明显,有效减少了插值过程中所产生的噪声,提升了成像质量。

For the non-uniformity of polarizer array caused by the difference of the lithography accuracy and the transmission of each pixel polarizer in a pixel polarized camera,a least squares based superpixel calibration method with angle constraint was proposed.A mathematical model of calibration optimization algorithm with angle constraint was established,meanwhile,scalar gain and dark compensation parameters were added in the model.Finally,an integrating sphere calibration system by taking a micro-polarizer as the core was established,simulation experiment and imaging experiment were performed.The experimental results show that the proposed method in this paper corrects effectively the amplitude unevenness of the super-pixels while correcting the degree of polarization and non-uniformity as compared with the least squares method,and the accuracy of the reconstruction perspective has increased by 10%.After interpolation processing,the edge performance is more obvious,and the noise generated during the interpolation process effectively is reduced and the image quality is improved.