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Image inpainting using cubic spline based edge reconstruction

机译:使用基于三次样条的边缘重建进行图像修复

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摘要

In this paper an image inpainting approach based on the construction of a composite curve for the restoration of the edges of objects in an image using the concepts of parametric and geometric continuity is presented. It is shown that this approach allows to restore the curved edges in damaged image by interpolating the boundaries of objects by cubic splines. A tensor analysis is used for classification of texture and non texture regions. After edge restoration stage, a texture restoration based on exemplar based method is carried out. It finds the best matching patch from another source region and copies it into the damaged region. For non texture regions a Telea method is applied.
机译:在本文中,提出了一种基于复合曲线构造的图像修复方法,该方法使用参数和几何连续性的概念来还原图像中对象的边缘。结果表明,该方法可以通过三次样条插值对象的边界来恢复损坏图像中的弯曲边缘。张量分析用于纹理和非纹理区域的分类。在边缘恢复阶段之后,基于示例方法进行纹理恢复。它从另一个源区域中找到最匹配的补丁,并将其复制到损坏的区域中。对于非纹理区域,将应用Telea方法。

著录项

  • 来源
    《》|2012年|p.82950I.1-82950I.10|共10页
  • 会议地点 Burlingame CA(US);Burlingame CA(US)
  • 作者单位

    Dept. of Radio-Electronics Systems, South-Russia State University of Economics and Services, Shevchenko 147, Shakhty, Russian Federation 346500;

    Dept. of Radio-Electronics Systems, South-Russia State University of Economics and Services, Shevchenko 147, Shakhty, Russian Federation 346500;

    Dept. of Radio-Electronics Systems, South-Russia State University of Economics and Services, Shevchenko 147, Shakhty, Russian Federation 346500;

    Dept. of Signal Processing, Tampere University of Technology, Korkeakoulunkatu 1, Tampere, Finland FI-33720;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 信息处理(信息加工);
  • 关键词

    image texture analysis; edge detection; reconstruction; spline interpolation; inpainting;

    机译:图像纹理分析;边缘检测重建;样条插值;修补;

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