Improving recto document side restoration with an estimation of the verso side from a single scanned page

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2008, Pages

  Wolf, Christian ^a  

^a CNRS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE SEGMENTATION; MAGNETORHEOLOGICAL FLUIDS; MARKOV PROCESSES; PIXELS;

BLEED-THROUGH REMOVALS; CONTENT CREATION; GRAY VALUE; MARKOV RANDOM FIELDS; SEGMENTATION ALGORITHMS;

PATTERN RECOGNITION;

EID: 77957948958     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icpr.2008.4761653     Document Type: Conference Paper

References (19)

1. H. Derin and H. Elliott. Modeling and Segmentation of Noisy and Textured Images Using Gibbs Random Fields. IEEE Tr. on PAMI, 9(1):39-55, 1987. (Pubitemid 17534848)
2. H.-S. Don. A noise attribute thresholding method for document image binarization. I.J. on Doc. Anal. and Rec., 4(2):131-138, 2000.
3. Bayesian super-resolution of text in video with a text-specific bimodal prior
4. F. Drira, F. Lebourgeois, and H. Emptoz. OCR accuracy improvement through a PDE-based approach. In I.C. on Doc. Anal. and Rec., volume 2, pages 1068-1072, 2007.
5. E. Dubois and A. Pathak. Reduction of bleed-through in scanned manuscript documents. In Proc. of the Image Processing, Image Quality, Image Capture Systems Conf., pages 177-180, 2001.
6. S. Geman and D. Geman. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images. IEEE Tr. on PAMI, 6(6):721-741, 11 1984.
7. J. Hammersley and P. Clifford. Markov fields on finite graphs and lattices. unpublished manuscript, 1968.
8. V. Kolmogorov and R. Zabih. What energy functions can be minimized via graph cuts? IEEE Tr. on PAMI, 26(2):147-159, 2004.
9. S. Li. Markov Random Field Modeling in Image Analysis. Springer Verlag, 2001.
10. H. Nishida and T. Suzuki. Correcting show-through effects on document images by multiscale analysis. In Proc. of the I.C. on Pattern Recognition, volume 3, pages 65-68, 2002.
11. J. Sauvola, T. Seppänen, S. Haapakoski, and M. Pietikäinen. Adaptive Document Binarization. In International Conference on Document Analysis and Recognition, volume 1, pages 147-152, 1997.
12. G. Sharma. Show-through cancellation in scans of duplex printed documents. IEEE Tr. on Image Processing, 10(5):736-754, 2001.
13. C. Tan, R. Cao, and P. Shen. Restoration of archival documents using a wavelet technique. IEEE Tr. on PAMI, 24(10):1399-1404, 2002.
14. A. Tonazzini and L. Bedini. Independent component analysis for document restoration. I.J. on Doc. Anal. and Rec., 7(1):17-27, 2004.
15. A. Tonazzini, E. Salerno, and L. Bedini. Fast correction of bleed-through distortion in grayscale documents by a blind source separation technique. I.J. on Doc. Anal. and Rec., 10(1):17-25, 2007.
16. A. Tonazzini, S. Vezzosi, and L. Bedini. Analysis and recognition of highly degraded printed characters. I.J. on Doc. Anal. and Rec., 6(4):236-247, 2003.
17. Q. Wang, T. Xia, C. Tan, and L. Li. Directional wavelet approach to remove document image interference. In I.C. on Doc. Anal. and Rec., pages 736-740, 2003.
18. C. Wolf. An iterative graph cut optimization algorithm for a double mrf prior. Technical Report LIRIS RR-2008-017, Laboratoire d'Informatique en Images et Systèmes d'Information, INSA de Lyon, France, 2008.
19. C. Wolf and D. Doermann. Binarization of Low Quality Text using a Markov Random Field Model. In Proc. of the I.C. on Pattern Recognition, volume 3, pages 160- 163, 2002.