Skip to main content
Log in

Bleed-through cancellation in non-rigidly misaligned recto–verso archival manuscripts based on local registration

  • Original Paper
  • Published:
International Journal on Document Analysis and Recognition (IJDAR) Aims and scope Submit manuscript

Abstract

Ancient manuscripts written on both pages of the sheet are frequently affected by ink bleeding from the reverse side. This phenomenon produces a significant degradation of both the foreground text and the general appearance of the manuscript. Effective digital image restoration techniques may require the use of the content of both document sides, thus needing their perfect alignment. Although often available, recto and verso are usually not aligned, either for rigid misalignments occurring during acquisition, or for non-rigid deformations of the sheet. In this paper, we propose a novel method to restore color recto–verso manuscript images in a piecewise manner, without the need of a preliminary, global registration of the two sides. We assume that at the local level any deformation can be approximated by a displacement and subdivide the two images into small patches of same size. For each pair of patches at the same location, their relative shift is estimated by cross-correlation, thus allowing their straightforward alignment. A bleed-through removal algorithm is then applied to the registered patches. By spanning the entire images, this procedure returns free-of-interferences versions of the images in their original acquisition layout. The experiments show that the restoration results so obtained are better than those obtained with the classical approach that first registers the whole recto–verso pair and then performs restoration. Further advantages are a much lower computational cost, the possibility to manage non-global and non-rigid deformations, and the unaltered geometry and color appearance of the two restored images.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16

Similar content being viewed by others

References

  1. Sun, B., Li, S., Zhang, X.P., Sun, J.: Blind bleed-through removal for scanned historical document image with conditional random fields. IEEE Trans. Image Process. 25(12), 5702–5712 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  2. Tonazzini, A., Salerno, E., Bedini, L.: Fast correction of bleed-through distortion in grayscale documents by a blind source separation technique. Int. J. Doc. Anal. Recognit. 10, 17–25 (2007)

    Article  Google Scholar 

  3. Hanasusanto, G.A., Wu, Z., Brown, M.S. : Ink-bleed reduction using functional minimization. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 825–832 (2010)

  4. Huang, Y., Brown, M.S., Xu, D.: User assisted ink-bleed reduction. IEEE Trans. Image Process. 19(10), 2646–2658 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  5. Tonazzini, A., Gerace, I., Martinelli, F.: Multichannel blind separation and deconvolution of images for document analysis. IEEE Trans. Image Process. 19(4), 912–925 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  6. Merrikh-Bayat, F., Babaie-Zadeh, M., Jutten, C.: Using non-negative matrix factorization for removing show-through. In: Proceedings LVA/ICA, pp. 482–489 (2010)

  7. Moghaddam, R.F., Cheriet, M.: A variational approach to degraded document enhancement. IEEE Trans. Pattern Anal. Mach. Intell. 32(8), 1347–1361 (2010)

    Article  Google Scholar 

  8. Almeida, M.S.C., Almeida, L.B.: Nonlinear separation of show-through image mixtures using a physical model trained with ica. Signal Process. 92, 872884 (2012)

    Article  Google Scholar 

  9. Martinelli, F., Salerno, E., Gerace, I., Tonazzini, A.: Non-linear model and constrained ML for removing back-to-front interferences from recto–verso documents. Pattern Recognit. 45, 596–605 (2012)

    Article  Google Scholar 

  10. Rowley-Brooke, R., Kokaram, A.: Bleed-through removal in degraded documents. In: Proceedings SPIE 8297 Document Recognition and Retrieval XIX, p. 82970T-10 (2012)

  11. Rowley-Brooke, R., Pitié, F., Kokaram, A.C.: A non-parametric framework for document bleed-through removal. In: 2013 IEEE Conference on Computer Vision and Pattern Recognition (Online), Portland, OR, USA, 23–28 June 2013, pp. 2954–2960. https://doi.org/10.1109/CVPR.2013.380 (2013)

  12. Tonazzini, A., Savino, P., Salerno, E.: A non-stationary density model to separate overlapped texts in degraded documents. Signal Image Video Process. 9, 155–164 (2015)

    Article  Google Scholar 

  13. Ai, Y., Li, W., Chan, T.-H., Liao, Q.: Removal of bleed-through effect via nonnegative least-correlation. In: Proceedings of IEEE International Conference on Acoustic, Speech and Signal Processing ICASSP, pp. 2774–2778 (2014)

  14. Dubois, E., Pathak, A.: Reduction of bleed-through in scanned manuscript documents. In: Proceedings of IS&T Image Processing, Image Quality, Image Capture Systems Conference, pp. 177–180 (2001)

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

  16. Wang, J., Brown, M.S., Tan, C.L.: Accurate alignment of double-sided manuscripts for bleed-through removal. In: Proceedings 8-th IAPR Workshop on Document Analysis System, pp. 69–75 (2008)

  17. Li, B., Wang, W., Ye, H.: Multi-sensor image registration based on algebraic projective invariants. Opt. Express 21, 9824–9838 (2013)

    Article  Google Scholar 

  18. Savino, P., Tonazzini, A.: Digital restoration of ancient color manuscripts from geometrically misaligned recto–verso pairs. J. Cult. Herit. 19, 511–521 (2016)

    Article  Google Scholar 

  19. Wang, J., Tan, C.L.: Non-rigid registration and restoration of double-sided historical manuscripts. In: Proceedings International Conference on Document Analysis and Recognition (ICDAR), p. 13741378 (2011)

  20. Myronenko, A., Song, X.: Intensity-based image registration by minimizing residual complexity. IEEE Trans. Med. Imaging 29, 1882–1891 (2010)

    Article  Google Scholar 

  21. Rowley-Brooke, R., Pitié, F., Kokaram, A.C.: Nonrigid recto-verso registration using page outline structure and content preserving warps. In: Proceedings of the 2nd International Workshop on Historical Document Imaging and Processing ACM, pp. 8–13 (2013)

  22. Rowley-Brooke, R., Pitié, F., Kokaram, A.: A ground truth bleed-through document image database. In: Theory and Practice of Digital Libraries, series Lecture Notes in Computer Science, P. Z. and G. Buchanan, E. Rasmussen, and F. Loizides (eds.), vol. 7489. Springer, pp. 185–196 (2012)

  23. Irish Script On Screen Project. http://www.isos.dias.ie (2012)

  24. Sauvola, J., Pietikäinen, M.: Adaptive document image binarization. Pattern Recognit. 33, 225–236 (2000)

    Article  Google Scholar 

  25. Klein, S., Staring, M., Murphy, K., Viergever, M.A., Pluim, J.: Elastix: a toolbox for intensity based medical image registration. IEEE Trans. Med. Imaging 29, 196–205 (2010)

    Article  Google Scholar 

  26. Hanif, M., Tonazzini, A., Savino, P., Salerno, E.: Non-local sparse image inpainting for document bleed-through removal. J. Imaging 4, 68 (2018)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Pasquale Savino.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Savino, P., Tonazzini, A. & Bedini, L. Bleed-through cancellation in non-rigidly misaligned recto–verso archival manuscripts based on local registration. IJDAR 22, 163–176 (2019). https://doi.org/10.1007/s10032-019-00323-2

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10032-019-00323-2

Navigation