A Non-parametric Framework for Document Bleed-through Removal

Roisin Rowley-Brooke, Francois Pitie, Anil Kokaram; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013, pp. 2954-2960

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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[bibtex]
@InProceedings{Rowley-Brooke_2013_CVPR,
author = {Rowley-Brooke, Roisin and Pitie, Francois and Kokaram, Anil},
title = {A Non-parametric Framework for Document Bleed-through Removal},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2013}
}