Digital canvas removal in paintings

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• 作者：Bruno Cornelis^a ; ^b ; ^{bcorneli@etro.vub.ac.be} ; Ann Dooms^a ; ^b ; Jan Cornelis^a ; Peter Schelkens^a ; ^b ; ^&clubs ;
• 关键词：Digital painting analysis ; Canvas removal ; Denoising ; Periodic noise ; Wiener filter
• 刊名：Signal Processing
• 出版年：2012
• 出版时间：April 2012
• 年：2012
• 卷：92
• 期：4
• 页码：1166-1171
• 全文大小：1147 K

文摘

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.