Blind document image enhancement based on diffusion process

@article{Yagoubi2014BlindDI,
  title={Blind document image enhancement based on diffusion process},
  author={Mohamed Riad Yagoubi and Amina Serir and Azeddine Beghdadi},
  journal={2014 5th European Workshop on Visual Information Processing (EUVIP)},
  year={2014},
  pages={1-6}
}
Document image enhancement is a well investigated field of research. Many approaches based on nonlinear anisotropic diffusion have been proved efficient for removing some common artifacts such as bleed-through. However, the proposed methods are somewhat ineffective in removing bleed-through artifacts while strengthening original side strokes. The purpose of this work is to propose a novel nonlinear anisotropic diffusion approach which enhances foreground edges coherence while smoothly removes… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 16 REFERENCES

A Laplacian Energy for Document Binarization

  • 2011 International Conference on Document Analysis and Recognition
  • 2011
VIEW 12 EXCERPTS
HIGHLY INFLUENTIAL

Degraded color document image enhancement based on NRCIR

  • 2010 2nd European Workshop on Visual Information Processing (EUVIP)
  • 2010
VIEW 1 EXCERPT

On the analysis of background subtraction techniques using gaussian mixture models

P.L.M.Bouttefroy, A.Bouzerdoum, S.L.Phung, A.Beghdadi
  • Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on, March 2010, pp. 4042–4045.
  • 2010
VIEW 1 EXCERPT

Low quality document image modeling and enhancement

  • International Journal of Document Analysis and Recognition (IJDAR)
  • 2008
VIEW 3 EXCERPTS

Vector-valued image regularization with PDEs: a common framework for different applications

  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2005
VIEW 1 EXCERPT

Comparison of some thresholding algorithms for text/background segmentation in difficult document images

G.Leedham, Y.Chen, +3 authors M.Li
  • Document Analysis and Recognition, 2003. Proceedings. Seventh International Conference on, Aug 2003, pp. 859–864.
  • 2003
VIEW 1 EXCERPT