【24h】

An efficient mean filter algorithm

机译:一种有效的均值滤波算法

获取原文

摘要

In order to improve the speed of mean filter algorithm and to reduce the redundancy operation, an efficient algorithm is presented in this paper. At first, an assistant array is built up to store the pixels' value summation of each column. Then, according to the relationship between adjacent windows when filter window is siding along the rows, a recursive formula for calculating the midpoint mean of a new window is schemed out. Meanwhile, the recursive formula for updating assistant array items is obtained based on the relationship between adjacent rows' pixels in the changing row process of midpoint of window. On the basis of these two recursion formulas, a high efficient mean filter algorithm is achieved. The speed of this method is independent of the variation of window size, which made it suitable for the process of large images with large filter kernel. And it is proved by experiments that the new algorithm is more efficient than the others.
机译:为了提高均值滤波算法的速度,减少冗余运算,提出了一种有效的算法。首先,建立一个辅助数组来存储每列的像素值总和。然后,根据过滤窗口沿行排列时相邻窗口之间的关系,提出了计算新窗口中点均值的递归公式。同时,根据窗口中点的变化行过程中相邻行像素之间的关系,获得了用于更新辅助阵列项的递归公式。基于这两个递归公式,实现了高效的均值滤波算法。该方法的速度与窗口大小的变化无关,这使其适合于具有大滤镜内核的大图像处理。实验证明,新算法比其他算法更有效。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号