Efficient Improvements on the BDND Filtering Algorithm for the Removal of High-Density Impulse Noise
Efficient Improvements on the BDND Filtering Algorithm for the Removal of High-Density Impulse Noise
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DOI：
10.1109/tip.2012.2228496
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发表时间：
2013-03
影响因子：
10.6
通讯作者：
I. Jafar;R. A. Namneh;Khalid A. Darabkh
中科院分区：
文献类型：
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作者：
I. Jafar;R. A. Namneh;Khalid A. Darabkh
众所周知，切换中值滤波在去除脉冲噪声方面优于标准中值滤波，这是因为它们能够过滤候选噪声像素并保持其他像素不变。边界判别性噪声检测(BDND)就是这类滤波器的一个强有力的例子。然而，BDND算法中与滤波步骤相关的一些问题可能会降低其性能。在本文中，我们对BDND算法的滤波步骤提出了两个改进，以解决这些问题。实验结果表明，改进后的图像比BDND算法具有更好的清晰度。
Switching median filters are known to outperform standard median filters in the removal of impulse noise due to their capability of filtering candidate noisy pixels and leaving other pixels intact. The boundary discriminative noise detection (BDND) is one powerful example in this class of filters. However, there are some issues related to the filtering step in the BDND algorithm that may degrade its performance. In this paper, we propose two modifications to the filtering step of the BDND algorithm to address these issues. Experimental evaluation shows the effectiveness of the proposed modifications in producing sharper images than the BDND algorithm.