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    Impulsive noise detection and removal with the use of iterative filter based on gradient adaptive neighborhoods

    机译:使用基于梯度自适应邻域的迭代滤波器进行脉冲噪声检测和消除

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    摘要

    A new effective algorithm of impulse noise suppression is proposed. First an iterative procedure composes a helper function associated with the filtered image, then this helper function allows realizing efficient impulse detection for the conventional two steps filtering scheme. In our previous papers we suggested a simple adaptive algorithm of impulse noise detection in monochrome images that takes into account the size of signal gradient neighborhoods and image statistics. In this work the detection scheme is noticeably ameliorated. Further investigations shown that the proposed modification of the gradient based impulse detector highly improves the results of the filtering in terms of both subjective and objective criteria.
    机译:提出了一种有效的脉冲噪声抑制算法。首先,迭代过程包括与滤波后的图像相关的辅助函数,然后该辅助函数允许实现常规两步滤波方案的有效脉冲检测。在我们之前的论文中,我们提出了一种简单的自适应脉冲噪声检测算法,该算法考虑了信号梯度邻域的大小和图像统计信息。在这项工作中,检测方案得到了明显改善。进一步的研究表明,基于主观和客观标准,对基于梯度的脉冲检测器的改进建议极大地改善了滤波结果。

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