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Simultaneous cartoon-plus-texture image deconvolution by using variational image decomposition

机译:通过变分图像分解同时进行卡通加纹理图像反卷积

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摘要

Real images usually have two layers, namely, cartoons(the piece-wise smooth part of image) and textures(the oscillating pattern part of the image). In this paper, we solve the challenging image deconvolution problems by using variation image decomposition method which can regularize the cartoon with total variation and texture in G space respectively. Different from existing schemes in the literature which can only recover the smooth structure of the image, our deconvolution method can not only restore the smooth part of image but also recover the detailed oscillating part of the image. Numerical simulation examples are given to demonstrate the applicability and usefulness of our proposed algorithms in image deconvolution.
机译:真实的图像通常具有两层,即卡通(图像的分段平滑部分)和纹理(图像的振荡图案部分)。在本文中,我们通过使用变化图像分解方法解决了具有挑战性的图像反卷积问题,该方法可以分别对G空间中具有总变化量和纹理的卡通进行正则化。与文献中现有的只能恢复图像平滑结构的方案不同,我们的反卷积方法不仅可以恢复图像的平滑部分,还可以恢复图像的详细振荡部分。数值算例说明了所提出算法在图像反卷积中的适用性和实用性。

著录项

  • 来源
  • 会议地点 Beijing(CN)
  • 作者单位

    Department of Information Physics and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China;

    Department of Information Physics and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China,School of Electronic Information Engineering, Xi'an Technological University, Xi'an, Shanxi 710032, China;

    Department of information and computational science, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China;

    Department of Information Physics and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China;

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

    cartoon and texture; image deconvolution; image decomposition; total variation; augmented Lagrangian method;

    机译:卡通和质感;图像反卷积图像分解;总变化扩充拉格朗日法;

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