PCA-based denoising method for division of focal plane polarimeters.

@article{Zhang2017PCAbasedDM,
  title={PCA-based denoising method for division of focal plane polarimeters.},
  author={Junchao Zhang and Haibo Luo and Rongguang Liang and Wei Zhou and Bin Hui and Zheng Chang},
  journal={Optics express},
  year={2017},
  volume={25 3},
  pages={2391-2400}
}
Division of focal plane (DoFP) polarimeters are composed of interlaced linear polarizers overlaid upon a focal plane array sensor. The interpolation is essential to reconstruct polarization information. However, current interpolation methods are based on the unrealistic assumption of noise-free images. Thus, it is advantageous to carry out denoising before interpolation. In this paper, we propose a principle component analysis (PCA) based denoising method, which works directly on DoFP images… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 21 references

Demonstration of a snapshot fullStokes divisionofaperture imaging polarimeter using Wollaston prism array

J. S. Tyo, D. L. Goldstein, D. B. Chenault, J. A. Shaw
J . Opt . • 2015

Image dehazing using polarization e ff ects of objects and airlight

R. Liang
Opt . Express • 2014

Robust Recovery of Subspace Structures by Low-Rank Representation

IEEE Transactions on Pattern Analysis and Machine Intelligence • 2013

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