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Correcting Photometric Distortion of Document Images on a Smartphone

Christian Simon, Williem, Jihwan Choe, Il Dong Yun, In Kyu Park
CVPRW 2014 pp. 199-200
doi:10.1109/CVPRW.2014.38 /cvprw/2014/simon2014cvprw-correcting/

Abstract

This paper presents efficient and robust methods for correcting photometric distortion on document images caused by moir'e pattern noise and specular highlight in smartphone. Our algorithm uses separated smoothing process for moir'e pattern removal on recaptured document image from LCD monitor. Furthermore, contrast of characters in specular highlight area is enhanced using subtraction and noise removal technique.

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Cite

Text

Simon et al. "Correcting Photometric Distortion of Document Images on a Smartphone." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2014. doi:10.1109/CVPRW.2014.38

Markdown

[Simon et al. "Correcting Photometric Distortion of Document Images on a Smartphone." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2014.](https://mlanthology.org/cvprw/2014/simon2014cvprw-correcting/) doi:10.1109/CVPRW.2014.38

BibTeX

@inproceedings{simon2014cvprw-correcting,
  title     = {{Correcting Photometric Distortion of Document Images on a Smartphone}},
  author    = {Simon, Christian and Williem,  and Choe, Jihwan and Yun, Il Dong and Park, In Kyu},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2014},
  pages     = {199-200},
  doi       = {10.1109/CVPRW.2014.38},
  url       = {https://mlanthology.org/cvprw/2014/simon2014cvprw-correcting/}
}