Beyond pixels and regions: A non-local patch means (NLPM) method for content-level restoration, enhancement, and reconstruction of degraded document images

  • Authors:
  • Reza Farrahi Moghaddam;Mohamed Cheriet

  • Affiliations:
  • Synchromedia Laboratory for Multimedia Communication in Telepresence, ícole de Technologie Supérieure, Montréal, QC, Canada H3C 1K3;Synchromedia Laboratory for Multimedia Communication in Telepresence, ícole de Technologie Supérieure, Montréal, QC, Canada H3C 1K3

  • Venue:
  • Pattern Recognition
  • Year:
  • 2011

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Abstract

A patch-based non-local restoration and reconstruction method for preprocessing degraded document images is introduced. The method collects relative data from the whole input image, while the image data are first represented by a content-level descriptor based on patches. This patch-equivalent representation of the input image is then corrected based on similar patches identified using a modified genetic algorithm (GA) resulting in a low computational load. The corrected patch-equivalent is then converted to the output restored image. The fact that the method uses the patches at the content level allows it to incorporate high-level restoration in an objective and self-sufficient way. The method has been applied to several degraded document images, including the DIBCO'09 contest dataset with promising results.