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Effective impulse noise reduction method based on local correlation

机译:基于局部相关的有效脉冲降噪方法

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摘要

This paper proposes a local correlation-based switching median filter for impulse noise reduction. The proposed algorithm consists of two main steps, detection and correction. In the first step, noise detection is performed using a scalable detection mask and morphological operation. In the second step, a corrupted pixel is corrected using the local correlation between the uncorrupted pixels in the mask. The experimental results showed that the proposed method can reduce impulse noise significantly and preserve more edge information than the existing state-of-art methods. In addition, the proposed method outperforms the most effective two schemes, which are simple adaptive median filter (SAM) and iterative adaptive switching median filter (IASMF) by an average of 1.68 and 0.49 dB, respectively. Therefore, we believe that the proposed method can be a useful tool for impulse noise-related products such as television, infrared-based devices and digital cameras.
机译:本文提出了一种基于局部相关性的开关中值滤波器,以减少脉冲噪声。所提出的算法包括两个主要步骤:检测和校正。在第一步中,使用可缩放检测掩码和形态学操作执行噪声检测。在第二步骤中,使用掩模中未损坏像素之间的局部相关性来校正损坏像素。实验结果表明,与现有技术相比,该方法可以显着降低脉冲噪声并保留更多的边缘信息。另外,所提出的方法优于最有效的两种方案,分别是简单自适应中值滤波器(SAM)和迭代自适应切换中值滤波器(IASMF),平均分别为1.68和0.49 dB。因此,我们相信所提出的方法对于与脉冲噪声相关的产品(例如电视,基于红外的设备和数码相机)可能是有用的工具。

著录项

  • 来源
    《The imaging science journal》 |2013年第1期|47-56|共10页
  • 作者

    Y Song; Y Han; S Lee;

  • 作者单位

    The Graduate School of Advanced Imaging Science, Multimedia and Film at Chung-Ang University, Seoul, Korea;

    The Graduate School of Advanced Imaging Science, Multimedia and Film at Chung-Ang University, Seoul, Korea;

    Department of Imaging Engineering, The Graduate School of Advanced Imaging Science, Multimedia and Film at Chung-Ang University, 221 Heuksuk-Dong, Dongjak-Gu, Seoul, Korea;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    impulse noise; switching median filter; noise detection;

    机译:脉冲噪声切换中值滤波器;噪音检测;
  • 入库时间 2022-08-17 13:37:06

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