Ancient Documents Denoising and Decomposition Using Aujol and Chambolle Algorithm

Mickaël Coustaty (1) , Sloven Dubois (2) , Ménard Michel (1) , Jean-Marc Ogier (1)

1 L3I - Laboratoire Informatique, Image et Interaction - EA 2118
2 LHC - Laboratoire Hubert Curien

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.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]; Traitement des images [eess.IV]

Mickaël Coustaty, Sloven Dubois, Ménard Michel, Jean-Marc Ogier. Ancient Documents Denoising and Decomposition Using Aujol and Chambolle Algorithm. Kwon and Ogier. Graphics Recognition. New Trends and Challenges, Springer, pp.15-24, 2013, LNCS, 978-3-642-36823-3. ⟨10.1007/978-3-642-36824-0_2⟩. ⟨hal-00916015⟩