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Simplifying Standard Median Filtering Algorithm by Window Decomposition and Medians Combination Filtering

机译:窗口分解和中值组合滤波简化标准中值滤波算法

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As the properties of edge preservation and efficient noise attenuation, median filter is widely used. For data processing in low-cost hardware platform such as wireless sensor network nodes, the filtering algorithm must be simple and efficient. In order to reduce the calculation complexity of the median filter with larger window size, a new filtering algorithm which trades off between calculation complexity and noise attenuating ability is proposed. Based on the hierarchical structure of median hybrid filters and applying standard median filtering, the algorithm divides the filtering window into three sub-windows and properly selects the samples for each sub-window, then combines the medians of the subwindows and outputs the median of the combination. The simulation and calculation complexity analysis show that the simplified filtering algorithm effectively reduces the computations, retains the noise attenuating and edge preserving ability and is applicable to low-cost hardware.
机译:由于边缘保留和有效的噪声衰减的特性,中值滤波器被广泛使用。对于低成本硬件平台(例如无线传感器网络节点)中的数据处理,过滤算法必须简单有效。为了降低大窗口尺寸的中值滤波器的计算复杂度,提出了一种在计算复杂度和噪声衰减能力之间进行权衡的滤波算法。该算法基于中值混合滤波器的层次结构并应用标准中值滤波,将过滤窗口分为三个子窗口,并为每个子窗口正确选择样本,然后组合子窗口的中值并输出中值。组合。仿真和计算复杂度分析表明,简化的滤波算法有效地减少了计算量,保留了噪声衰减和边缘保持能力,适用于低成本硬件。

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