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Communication Dans Un Congrès Année : 2012

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

Drira Fadoua
  • Fonction : Auteur

Résumé

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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Dates et versions

hal-01353172 , version 1 (10-08-2016)

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Citer

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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