Digital canvas removal in paintings |
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Authors: | Bruno Cornelis Ann Dooms Jan CornelisPeter Schelkens |
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Institution: | a Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), Pleinlaan 2, B-1050 Brussels, Belgium b Interdisciplinary Institute for Broadband Technology (IBBT), Gaston Crommenlaan 8 (box 102), B-9050 Ghent, Belgium |
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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. |
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Keywords: | Digital painting analysis Canvas removal Denoising Periodic noise Wiener filter |
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