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Study on fast algorithm of median filtering based on DC and ICS method

机译:基于DC和ICS方法的中值滤波快速算法研究

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This paper studies median filtering algorithm and several related fast algorithm proposed by other professors, then gives a novel fast algorithm of median filtering based on divide-and-conquer method and improved-choose-sort method. In new algorithm, all the pixels in filtering window are divided into several blocks, the median values of each block are computed using improved-choose-sort algorithm, then consider the above median values as a new block and compute its median value again, which can be seen as the median value of all the pixel values. In ICS algorithm, only half of the block data are sorted and the rest can be ignored. Experiment results show that the new algorithm is significantly superior to classical algorithm especially in large window cases; it can greatly improve the performance of median filtering algorithm while keeping very high accuracy.
机译:本文研究了中值滤波算法和其他教授提出的几种相关的快速算法,然后给出了一种基于分治法和改进选择排序法的中值滤波新算法。在新算法中,将滤波窗口中的所有像素均分为几个块,使用改进的选择排序算法计算每个块的中值,然后将上述中值视为一个新块,然后再次计算其中值。可以看成是所有像素值的中间值。在ICS算法中,只有一半的块数据被排序,其余的可以忽略。实验结果表明,新算法明显优于经典算法,特别是在大窗口情况下。它可以在保持非常高的精度的同时极大地提高中值滤波算法的性能。

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