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.
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Coustaty, M., Dubois, S., Menard, M., Ogier, JM. (2013). Ancient Documents Denoising and Decomposition Using Aujol and Chambolle Algorithm. In: Kwon, YB., Ogier, JM. (eds) Graphics Recognition. New Trends and Challenges. GREC 2011. Lecture Notes in Computer Science, vol 7423. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36824-0_2
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DOI: https://doi.org/10.1007/978-3-642-36824-0_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36823-3
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