Denoising Textual Images Using Local/Non-local Smoothing Filters: A Comparative Study

Frank Le Bourgeois 1 Drira Fadoua
1 imagine - Extraction de Caractéristiques et Identification
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : Textual document image denoising is the main issue of this work. Therefore, we introduce a comparative study between two state-of-the-art denoising frameworks : local and non-local smoothing filters. The choice of both of these frameworks is directly related to their ability to deal with local data corruption and to process oriented patterns, a major characteristic of textual documents. Local smoothing filters incorporate anisotropic diffusion approaches where as non-local filters introduce non-local means. Experiments conducted on synthetic and real degraded document images illustrate the behaviour of the studied frameworks on the visual quality and even on the optical recognition accuracy rates.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01353172
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Submitted on : Wednesday, August 10, 2016 - 4:25:29 PM
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Frank Le Bourgeois, Drira Fadoua. Denoising Textual Images Using Local/Non-local Smoothing Filters: A Comparative Study. International Conference on Frontiers in Handwriting Recognition (ICFHR'12), Sep 2012, Bari, Italy. pp.521-526, ⟨10.1109/ICFHR.2012.198⟩. ⟨hal-01353172⟩

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