Skip to main content

Using Non-Negative Matrix Factorization for Removing Show-Through

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6365))

Abstract

Scanning process usually degrades digital documents due to the contents of the backside of the scanned manuscript. This is often because of the show-through effect, i.e. the backside image that interferes with the main front side picture mainly due to the intrinsic transparency of the paper used for printing or writing.

In this paper, we first use one of Non-negative Matrix Factorization (NMF) methods for canceling show-through phenomenon. Then, non-linearity of show-through effect is included by changing the cost function used in this method. Simulation results show that this proposed algorithm can remove show-through effectively.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Nishida, H., Suzuki, T.: A Multi-Scale Approach to Restoring Scanned Colour Documents with Show-Through Effects. In: Proc. Seventh International Conference on Document Analysis and Recognition, vol. 1, pp. 584–588 (2003)

    Google Scholar 

  2. Wang, Q., Tan, C.L.: Matching of Double-sided Document Images to Remove Interference. In: IEEE CVPR 2001 (December 2001)

    Google Scholar 

  3. Tonazzini, A., Bianco, G., Salerno, E.: Registration and enhancement of double-sided degraded manuscripts acquired in multispectral modality. In: 10th International Conference on Document Analysis and Recognition, Spain, July 2009, pp. 546–550 (2009)

    Google Scholar 

  4. Tonazzini, A., Salerno, E., Bedini, L.: Fast Correction of Bleed-through Distortion in Grayscale Documents by a Blind Source Separation Technique. Int. Journal of Document Analysis IJDAR 10(1), 17–25 (2007)

    Article  Google Scholar 

  5. Tonazzini, A., Salerno, E., Mochi, M., Bedini, L.: Bleed-Through Removal from Degraded Documents Using a Color Decorrelation Method. In: Marinai, S., Dengel, A.R. (eds.) DAS 2004. LNCS, vol. 3163, pp. 229–240. Springer, Heidelberg (2004)

    Google Scholar 

  6. Merrikh-Bayat, F., Babaie-Zadeh, M., Jutten, C.: A Nonlinear Blind Source Separation Solution for Removing the Show-through Effect in the Scanned Documents. In: 16th European Signal Processing Conference (EUSIPCO 2008), Lausanne, Switzerland (August 2008)

    Google Scholar 

  7. Almeida, M.S.C., Almeida, L.B.: Separating nonlinear image mixtures using a physical model trained with ICA. In: IEEE International Workshop on Machine Learning for Signal Processing, Maynooth, Ireland (2006)

    Google Scholar 

  8. Sharma, G.: Cancellation of Show-through in Duplex Scanning. In: Proc. IEEE Int. Conf. Image Processing, vol.2, pp. 609–612 (September 2000)

    Google Scholar 

  9. Almeida, L.B.: Separating a Real-life Nonlinear Image Mixture. Journal of Macine Learning Research 6, 1199–1232 (2005)

    MathSciNet  Google Scholar 

  10. Almeida, M.S.C., Almeida, L.B.: Wavelet-based separation of nonlinear show-through and bleed-through image mixtures. Journal of Neurocomputing 72, 57–70 (2008)

    Article  MathSciNet  Google Scholar 

  11. Chu, M., Diele, F., Plemmons, R., Ragni, S.: Optimality, Computation and Interpretation of Non-negative Matrix Factorizations. Wake Forest University (2004)

    Google Scholar 

  12. Lin, C.J.: Projected Gradient Methods for Non-negative Matrix Factorization. Neural Computation 19, 2756–2779 (2007)

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Merrikh-Bayat, F., Babaie-Zadeh, M., Jutten, C. (2010). Using Non-Negative Matrix Factorization for Removing Show-Through. In: Vigneron, V., Zarzoso, V., Moreau, E., Gribonval, R., Vincent, E. (eds) Latent Variable Analysis and Signal Separation. LVA/ICA 2010. Lecture Notes in Computer Science, vol 6365. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15995-4_60

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-15995-4_60

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15994-7

  • Online ISBN: 978-3-642-15995-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics