Super-pixel calibration method of pixelated polarization camera

Tao ZHANG; Wen-chang XU; De-jiang WANG; He SUN

doi:10.3788/OPE.20172512.3179

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Super-pixel calibration method of pixelated polarization camera

Information Sciences | 更新时间：2020-07-07

- Super-pixel calibration method of pixelated polarization camera
- Optics and Precision Engineering Vol. 25, Issue 12, Pages: 3179-3186(2017)
- 作者机构：
  
  1.中国科学院长春光学精密机械与物理研究所, 吉林长春 130039
  2.中国科学院大学, 北京 100049
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20172512.3179
  CLC： O436.3;TP391
- Received：28 September 2017，
  
  Accepted：09 October 2017，
  
  Published：25 December 2017
- 稿件说明：
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Tao ZHANG, Wen-chang XU, De-jiang WANG, et al. Super-pixel calibration method of pixelated polarization camera[J]. Optics and precision engineering, 2017, 25(12): 3179-3186.
DOI：

Tao ZHANG, Wen-chang XU, De-jiang WANG, et al. Super-pixel calibration method of pixelated polarization camera[J]. Optics and precision engineering, 2017, 25(12): 3179-3186. DOI： 10.3788/OPE.20172512.3179.

摘要

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。

Abstract

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 super-pixel 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.

关键词

Keywords

references

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