Ancient documents denoising and decomposition using aujol and chambolle algorithm

Authors:
Mickael Coustaty;Sloven Dubois;Michel Menard;Jean-Marc Ogier
Affiliations:
Laboratoire d'Informatique, Image et Interactions, Université de La Rochelle, La Rochelle, France;Université de Lyon, Saint-Étienne, France,Laboratoire Hubert Curien, CNRS, UMR5516, Saint-Étienne, France,Université de Saint-Étienne, Jean Monnet, Saint-Étienne, Fra ...;Laboratoire d'Informatique, Image et Interactions, Université de La Rochelle, La Rochelle, France;Laboratoire d'Informatique, Image et Interactions, Université de La Rochelle, La Rochelle, France
Venue:
GREC'11 Proceedings of the 9th international conference on Graphics Recognition: new trends and challenges
Year:
2011

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Abstract

With the improvement of printing technology since the 15th century, there is a huge amount of printed documents published and distributed. These documents are degraded by the time and require to be preprocessed before being submitted to image indexing strategy, in order to enhance the quality of images. This paper proposes a new pre-processing that permits to denoise these documents, by using a Aujol and Chambolle algorithm. Aujol and Chambolle algorithm allows to extract meaningful components from image. In this case, we can extract shapes, textures and noise. Some examples of specific processings applied on each layer are illustrated in this paper.