Super-resolved binarization of text based on the FAIR algorithm

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

Volumn , Issue , 2011, Pages 839-843

  Lelore, Thibault ^b   Bouchara, Frédéric ^a  

^a UNIVERSITÉ DE TOULON   (France)

^b NONE

Author keywords

Binarization; Connected Component; Edge detector; EM algorithm; super resolution

Indexed keywords

BINARIZATIONS; CONNECTED COMPONENT; EDGE DETECTORS; EM ALGORITHMS; SUPER RESOLUTION;

ALGORITHMS; CHARACTER RECOGNITION; IMAGE RECONSTRUCTION; QUALITY CONTROL;

EDGE DETECTION;

EID: 82355186275     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2011.172     Document Type: Conference Paper

References (27)

1. J. Sauvola and M. Pietikinen, "Adaptive document image binarization," Pattern Recognition, vol. 33, no. 2, pp. 225-236, 2000.
2. C. M. Fabrizio J., Beatriz M., "Text segmentation in natural scenes using toggle-mapping," in IEEE International Conference on Image Processing (ICIP09). IEEE Computer Society, 2009.
3. M. A. Ramírez-Ortegón, E. Tapia, L. L. Ramírez- Ramírez, R. Rojas, and E. Cuevas, "Transition pixel: A concept for binarization based on edge detection and gray-intensity histograms,"Pattern Recognition, November 2009.
4. T. Lelore and F. Bouchara, "Document image binarisation using markov field model," in 10th International Conference on Document Analysis and Recognition (ICDAR'09). Washington, DC, USA: IEEE Computer Society, 2009, pp. 551-555.
5. T. S. Huang and R. Y. Tsay, "Multiple frame image restoration and registration," in Advances in Computer Vision and Image Processing, vol. 1. Greenwich: JAI, 1984, pp. 317-339.
6. D. Capel and A. Zisserman, "Super-resolution enhancement of text image sequences," International Conference on Pattern Recognition, vol. 1, pp. 600-605, 2000.
7. H. Li and D. Doermann, "Superresolution-based enhancement of text in digital video," International Conference on Pattern Recognition, vol. 1, p. 1847, 2000.
8. M. Protter, M. Elad, H. Takeda, and P. Milanfar, "Generalizing the non-local-means to super-resolution reconstruction,"in IEEE Transactions on Image Processing, 2009, p. 36.
9. J. Banerjee and C. V. Jawahar, "Super-resolution of text images using edge-directed tangent field," in Proceedings of the 2008 The Eighth IAPR International Workshop on Document Analysis Systems. Washington, DC, USA: IEEE Computer Society, 2008, pp. 76-83.
10. H. Q. Luong and W. Philips, "Robust reconstruction of lowresolution document images by exploiting repetitive character behaviour," Int. J. Doc. Anal. Recognit., vol. 11, pp. 39-51, September 2008.
11. K. Donaldson and G. K. Myers, "Bayesian super-resolution of text in video with a text-specific bimodal prior," in Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), ser. CVPR '05. Washington, DC, USA: IEEE Computer Society, 2005, pp. 1188-1195.
12. Q. Chen, Q.-s. Sun, P. Ann Heng, and D.-s. Xia, "A doublethreshold image binarization method based on edge detector,"Pattern Recognition, vol. 41, no. 4, pp. 1254-1267, 2008. (Pubitemid 350214560)
13. M. Block and R. Rojas, "Local contrast segmentation to binarize images," in ICDS '09: Proceedings of the 2009 Third International Conference on Digital Society. Washington, DC, USA: IEEE Computer Society, 2009, pp. 294-299.
14. M. Fang, G. Yue, and Q. C. Yu, "The study on an application of otsu method in canny operator," in International Symposium on Information Processing (ISIP), Aug 2009, pp. 109-112.
15. H. Yuan-Kai, W. Gen, Z. Yu-Dong, and W. Le-Nan, "An adaptive threshold for the canny operator of edge detection,"in Image Analysis and Signal Processing 2010 (IASP10), 2010, pp. 371-374.
16. A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood from incomplete data via the em algorithm," Royal Statistical Society, Series B, vol. 39, pp. 1-38, 1977.
17. D. Datsenko and M. Elad, "Example-based single document image super-resolution: a global map approach with outlier rejection," Multidimensional Syst. Signal Process., vol. 18, pp. 103-121, September 2007. (Pubitemid 46753782)
18. M. Elad and Y. Hel-Or, "A fast super-resolution reconstruction algorithm for pure translational motion and common spaceinvariant blur." IEEE Transactions on Image Processing, pp. 1187-1193, 2001. (Pubitemid 32732679)
19. P. Vandewalle, S. Süsstrunk, and M. Vetterli, "A frequency domain approach to registration of aliased images with application to super-resolution," EURASIP J. Appl. Signal Process., vol. 2006, pp. 233-233, January 2006.
20. A. Zomet, A. Rav-Acha, and S. Peleg, "Robust superresolution, "Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, vol. 1, p. 645, 2001.
21. H. Shen, L. Zhang, and B. H. P. Li, "A map approach for joint motion estimation, segmentation, and super resolution,"in IEEE Transactions on Image Processing, 2007, pp. 479-490.
22. Y. S. Hung and W. K. Tang, "Projective reconstruction from multiple views with minimization of 2d reprojection error,"Int. J. Comput. Vision, vol. 66, pp. 305-317, March 2006.
23. M. Calonder, V. Lepetit, C. Strecha, and P. Fua, "Brief: Binary robust independent elementary features," in European Conference on Computer Vision, September 2010.
24. M. A. Fischler and R. C. Bolles, "Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography," Commun. ACM, vol. 24, pp. 381-395, June 1981.
25. L. He, Y. Chao, K. Suzuki, and K. Wu, "Fast connectedcomponent labeling," Pattern Recogn., vol. 42, no. 9, pp. 1977-1987, 2009.
26. S. Farsiu, M. D. Robinson, M. Elad, and P. Milanfar, "Fast and Robust Multiframe Super Resolution," IEEE Transactions on Image Processing, vol. 13, no. 10, pp. 1327-1344, Oct. 2004.
27. B. Gatos, K. Ntirogiannis, and I. Pratikakis, "Icdar 2009 document image binarization contest (dibco 2009)," in ICDAR '09: Proceedings of the 10th International Conference on Document Analysis and Recognition. Washington, DC, USA: IEEE Computer Society, 2009, pp. 1375-1382.