Cornelis, B., Dooms, A., Cornelis, J., & Schelkens, P. (2012). Digital canvas removal in paintings. Signal Processing, 92, 1166-1171. http://www.sciencedirect.com/science/article/pii/S0165168411003975

@article{5a2fde36644547898f7c7fe6cac6745c,
title = "Digital canvas removal in paintings",
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.",
keywords = "Digital painting analysis, Canvas removal, Denoising, Periodic noise, Wiener filter",
author = "Bruno Cornelis and Ann Dooms and Jan Cornelis and Peter Schelkens",
year = "2012",
month = apr,
language = "English",
volume = "92",
pages = "1166--1171",
journal = "Signal Processing",
issn = "0165-1684",
publisher = "Elsevier",
}