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Robust reconstruction of low-resolution document images by exploiting repetitive character behaviour

Hiep Luong (UGent) and Wilfried Philips (UGent)
(2008) INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION. 11(1). p.39-51
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Abstract
In this paper, we present a new approach for reconstructing low-resolution document images. Unlike other conventional reconstruction methods, the unknown pixel values are not estimated based on their local surrounding neighbourhood, but on the whole image. In particular, we exploit the multiple occurrence of characters in the scanned document. In order to take advantage of this repetitive behaviour, we divide the image into character segments and match similar character segments to filter relevant information before the reconstruction. A great advantage of our proposed approach over conventional approaches is that we have more information at our disposal, which leads to a better reconstruction of the high-resolution (HR) image. Experimental results confirm the effectiveness of our proposed method, which is expressed in a better optical character recognition (OCR) accuracy and visual superiority to other traditional interpolation and restoration methods.
Keywords
Restoration, Repetition, Interpolation, Character segmentation, Bimodal distribution, OCR, EM ALGORITHM, INTERPOLATION, SEGMENTATION

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MLA
Luong, Hiep, and Wilfried Philips. “Robust Reconstruction of Low-Resolution Document Images by Exploiting Repetitive Character Behaviour.” INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, vol. 11, no. 1, 2008, pp. 39–51, doi:10.1007/s10032-008-0068-2.
APA
Luong, H., & Philips, W. (2008). Robust reconstruction of low-resolution document images by exploiting repetitive character behaviour. INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, 11(1), 39–51. https://doi.org/10.1007/s10032-008-0068-2
Chicago author-date
Luong, Hiep, and Wilfried Philips. 2008. “Robust Reconstruction of Low-Resolution Document Images by Exploiting Repetitive Character Behaviour.” INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION 11 (1): 39–51. https://doi.org/10.1007/s10032-008-0068-2.
Chicago author-date (all authors)
Luong, Hiep, and Wilfried Philips. 2008. “Robust Reconstruction of Low-Resolution Document Images by Exploiting Repetitive Character Behaviour.” INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION 11 (1): 39–51. doi:10.1007/s10032-008-0068-2.
Vancouver
1.
Luong H, Philips W. Robust reconstruction of low-resolution document images by exploiting repetitive character behaviour. INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION. 2008;11(1):39–51.
IEEE
[1]
H. Luong and W. Philips, “Robust reconstruction of low-resolution document images by exploiting repetitive character behaviour,” INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, vol. 11, no. 1, pp. 39–51, 2008.
@article{441129,
  abstract     = {{In this paper, we present a new approach for reconstructing low-resolution document images. Unlike other conventional reconstruction methods, the unknown pixel values are not estimated based on their local surrounding neighbourhood, but on the whole image. In particular, we exploit the multiple occurrence of characters in the scanned document. In order to take advantage of this repetitive behaviour, we divide the image into character segments and match similar character segments to filter relevant information before the reconstruction. A great advantage of our proposed approach over conventional approaches is that we have more information at our disposal, which leads to a better reconstruction of the high-resolution (HR) image. Experimental results confirm the effectiveness of our proposed method, which is expressed in a better optical character recognition (OCR) accuracy and visual superiority to other traditional interpolation and restoration methods.}},
  author       = {{Luong, Hiep and Philips, Wilfried}},
  issn         = {{1433-2833}},
  journal      = {{INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION}},
  keywords     = {{Restoration,Repetition,Interpolation,Character segmentation,Bimodal distribution,OCR,EM ALGORITHM,INTERPOLATION,SEGMENTATION}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{39--51}},
  title        = {{Robust reconstruction of low-resolution document images by exploiting repetitive character behaviour}},
  url          = {{http://doi.org/10.1007/s10032-008-0068-2}},
  volume       = {{11}},
  year         = {{2008}},
}
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