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Digital canvas removal in paintings This publication appears in: Signal Processing Authors: B. Cornelis, A. Dooms, J. Cornelis and P. Schelkens Volume: 92 Pages: 1166-1171 Publication Date: Apr. 2012
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. External Link.
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