Ancient Documents Denoising and Decomposition Using Aujol and Chambolle Algorithm

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 ima...

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Bibliographic Details
Published inGraphics Recognition. New Trends and Challenges pp. 15 - 24
Main Authors Coustaty, Mickael, Dubois, Sloven, Menard, Michel, Ogier, Jean-Marc
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2013
Springer
SeriesLecture Notes in Computer Science
Subjects
Aujol and Chambolle
Computer Science
decomposition
denoising
Engineering Sciences
Historical documents
Image Processing
Signal and Image Processing
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ISBN9783642368233
3642368239
ISSN0302-9743
1611-3349
DOI10.1007/978-3-642-36824-0_2

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Summary: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.
ISBN:9783642368233
3642368239
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-642-36824-0_2