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Digital canvas removal in paintings

机译:绘画中的数字画布清除

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摘要

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.
机译:画布上的绘画底层支持的周期性结构在高分辨率数字记录中可能会变得非常突出和令人不安。在本文中,我们构造了一种用于数字去除画布的新模型和方法,该模型和方法被认为是叠加在绘画作品上的噪声成分。图像的高分辨率阻碍了现​​有自适应降噪滤波器的有效应用。因此,提出了一种两步法。首先,将(平滑的)维纳滤镜应用于完整图像。第二步包括具有低复杂度的空间自适应扩展,以获得通用的数字画布去除过滤器。

著录项

  • 来源
    《Signal processing》 |2012年第4期|p.1166-1171|共6页
  • 作者单位

    Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), Pleinlaan 2, B-W50 Brussels, Belgium,Interdisciplinary Institute for Broadband Technology (1BBT), Caston Crommenlaan 8 (box 102), B-9050 Ghent, Belgium;

    Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), Pleinlaan 2, B-W50 Brussels, Belgium,Interdisciplinary Institute for Broadband Technology (1BBT), Caston Crommenlaan 8 (box 102), B-9050 Ghent, Belgium;

    Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), Pleinlaan 2, B-W50 Brussels, Belgium;

    Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), Pleinlaan 2, B-W50 Brussels, Belgium,Interdisciplinary Institute for Broadband Technology (1BBT), Caston Crommenlaan 8 (box 102), B-9050 Ghent, Belgium;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    digital painting analysis; canvas removal; denoising; periodic noise; wiener filter;

    机译:数字绘画分析;帆布清除;去噪周期性噪音维也纳过滤器;

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