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A novel algorithm for removal of salt and pepper noise using continued fractions interpolation

机译:一种使用连续分数插值的去除盐和胡椒噪声的新算法

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摘要

We propose a novel continued fractions interpolation filter (CFIF) to remove salt and pepper noise. The proposed algorithm replaces median filter with continued fractions interpolation filter. First, noise free pixels are left unchanged, then, the weighted mean of four-direction continued fractions interpolation is computed to estimate the corrupted pixel value. Our method requires neither a window nor any prior knowledge. The proposed method also preserves edges very well while removing impulse noise. Simulation results indicate that the CFIF outperforms other filters existing in the literature.
机译:我们提出了一种新颖的连续分数插值滤波器(CFIF),以消除盐和胡椒粉噪声。所提出的算法用连续分数插值滤波器代替中值滤波器。首先,将无噪声像素保持不变,然后,计算四方向连续分数插值的加权平均值,以估计损坏的像素值。我们的方法既不需要窗口,也不需要任何先验知识。所提出的方法在去除脉冲噪声的同时还很好地保留了边缘。仿真结果表明,CFIF的性能优于文献中存在的其他滤波器。

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  • 来源
    《Signal processing》 |2014年第9期|247-255|共9页
  • 作者单位

    School of Computer & Information, Hefei University of Technology, Hefei, China,School of Software Engineering, University of Science and Technology of China, Hefei, China;

    School of Computer & Information, Hefei University of Technology, Hefei, China;

    School of Computer & Information, Hefei University of Technology, Hefei, China;

    School of Computer & Information, Hefei University of Technology, Hefei, China;

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

    Continued fractions interpolation; Image denoising; Impulse noise; Salt and pepper noise;

    机译:连续分数插值;图像降噪;脉冲噪声;盐和胡椒粉的声音;

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