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Using anisotropic diffusion equations in pixon domain for image de-noising - Springer

机译:在pixon域中使用各向异性扩散方程进行图像降噪-Springer

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摘要

Image enhancement is an essential phase in many image processing algorithms. In any image de-noising algorithm, it is a major concern to keep the interesting structures of the image. Such interesting structures in an image often correspond to the discontinuities in the image (edges). In this paper, we propose a new algorithm for image de-noising using anisotropic diffusion equations in pixon domain. In this approach, diffusion equations are applied on the pixonal model of the image. The algorithm has been examined on a variety of standard images and the performance has been compared with algorithms known from the literature. The experimental results show that in comparison with the other existing methods, the proposed algorithm has a better performance in de-noising and preserving image edges.
机译:在许多图像处理算法中,图像增强是必不可少的阶段。在任何图像去噪算法中,保持图像的有趣结构都是一个主要问题。图像中这种有趣的结构通常对应于图像中的不连续性(边缘)。在本文中,我们提出了一种在像素域中使用各向异性扩散方程进行图像降噪的新算法。在这种方法中,将扩散方程式应用于图像的像素模型。已经在各种标准图像上检查了该算法,并将性能与文献中已知的算法进行了比较。实验结果表明,与其他现有方法相比,该算法在去噪和保留图像边缘方面具有更好的性能。

著录项

  • 来源
    《Signal, Image and Video Processing》 |2013年第6期|1113-1124|共12页
  • 作者单位

    1.Department of Photonics Engineering Technical University of Denmark Ørsteds Plads Building 343 2800 Kgs. Lyngby Denmark;

    2.Department of Informatics and Mathematical Modeling Technical University of Denmark Richard Petersens Plads Building 305 2800 Kgs. Lyngby Denmark;

    1.Department of Photonics Engineering Technical University of Denmark Ørsteds Plads Building 343 2800 Kgs. Lyngby Denmark;

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

    De-noising; Edge; Diffusion equations; Pixonal image;

    机译:去噪边缘扩散方程像素图像;

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