Fast communication: Digital canvas removal in paintings

  • Authors:

  • Bruno Cornelis;Ann Dooms;Jan Cornelis;Peter Schelkens

  • Affiliations:

  • Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), Pleinlaan 2, B-1050 Brussels, Belgium and Interdisciplinary Institute for Broadband Technology (IBBT), Gaston Cr ...;Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), Pleinlaan 2, B-1050 Brussels, Belgium and Interdisciplinary Institute for Broadband Technology (IBBT), Gaston Cr ...;Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), Pleinlaan 2, B-1050 Brussels, Belgium;Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), Pleinlaan 2, B-1050 Brussels, Belgium and Interdisciplinary Institute for Broadband Technology (IBBT), Gaston Cr ...

  • Venue:
  • Signal Processing
  • Year:
  • 2012

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Abstract

The periodic structure of the underlying support of paintings on canvas can become quite prominent and disturbing in high resolution digital recordings. In this paper, we construct a new model and method for the digital removal of canvas which is considered as a noise component superimposed on the painting artwork. The high resolution of the images prohibits the efficient application of existing adaptive denoising filters. Hence, a two-step approach is proposed. First a (smoothing) Wiener filter is applied to the complete image. The second step consists of a spatially adaptive extension with low-complexity to obtain a generic digital canvas removal filter.