A Non-Parametric Framework for Document Bleed-Through Removal

Roisin Rowley-Brooke, Francois Pitie, Anil Kokaram

CVPR 2013

doi:10.1109/CVPR.2013.380 /cvpr/2013/rowleybrooke2013cvpr-nonparametric/

Abstract

This paper presents recent work on a new framework for non-blind document bleed-through removal. The framework includes image preprocessing to remove local intensity variations, pixel region classification based on a segmentation of the joint recto-verso intensity histogram and connected component analysis on the subsequent image labelling. Finally restoration of the degraded regions is performed using exemplar-based image inpainting. The proposed method is evaluated visually and numerically on a freely available database of 25 scanned manuscript image pairs with ground truth, and is shown to outperform recent non-blind bleed-through removal techniques.

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Text

Rowley-Brooke et al. "A Non-Parametric Framework for Document Bleed-Through Removal." Conference on Computer Vision and Pattern Recognition, 2013. doi:10.1109/CVPR.2013.380

Markdown

[Rowley-Brooke et al. "A Non-Parametric Framework for Document Bleed-Through Removal." Conference on Computer Vision and Pattern Recognition, 2013.](https://mlanthology.org/cvpr/2013/rowleybrooke2013cvpr-nonparametric/) doi:10.1109/CVPR.2013.380

BibTeX

@inproceedings{rowleybrooke2013cvpr-nonparametric,
  title     = {{A Non-Parametric Framework for Document Bleed-Through Removal}},
  author    = {Rowley-Brooke, Roisin and Pitie, Francois and Kokaram, Anil},
  booktitle = {Conference on Computer Vision and Pattern Recognition},
  year      = {2013},
  doi       = {10.1109/CVPR.2013.380},
  url       = {https://mlanthology.org/cvpr/2013/rowleybrooke2013cvpr-nonparametric/}
}