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基于米字型子窗口中值加权的滤波算法

沈德海 侯建 鄂旭 张龙昌 阎琦

计算机技术与发展2017,Vol.27Issue(9):78-81,4.
计算机技术与发展2017,Vol.27Issue(9):78-81,4.DOI:10.3969/j.issn.1673-629X.2017.09.017

基于米字型子窗口中值加权的滤波算法

Median Weighted Filtering Algorithm Based on UK-flag Shaped Sub-windows

沈德海 1侯建 1鄂旭 1张龙昌 1阎琦1

作者信息

  • 1. 渤海大学 信息科学与技术学院,辽宁 锦州 121013
  • 折叠

摘要

Abstract

Traditional median filer and mean filter algorithms can eliminate the impulse noise and Gauss noise in an image respectively, but when the image contains these two types of noise at the same time,their filtering effect are not ideal. In order to suppress the impulse noise and Gauss noise mixed in the image,a median weighted filtering algorithm based on UK-flag shaped sub-windows is proposed, which uses the ideas of the multistage median filtering to divide 3×3 filtering window into UK-flag shaped sub-windows and then non-impulse noise pixels and their medians is calculated. The normalized method is employed to calculate the weights of these median pixels so that each median pixel in sub-window and its corresponding weight is weighted. The results have been acquired via filtering output of center pixel in the filtering window. Experimental results indicate that it has good filtering performance for mixed noise images and keeps the image edge details fare well and that the filtering effects are superior to the traditional median filtering algorithm,mean filtering algo-rithm and MLM algorithm,which displays certain practical value.

关键词

滤波/混合噪声/米字型/加权

Key words

filter/mixed noise/UK-flag shaped/weightd

分类

信息技术与安全科学

引用本文复制引用

沈德海,侯建,鄂旭,张龙昌,阎琦..基于米字型子窗口中值加权的滤波算法[J].计算机技术与发展,2017,27(9):78-81,4.

基金项目

国家自然科学基金资助项目(61473045) (61473045)

辽宁省自然科学基金项目(2014020141) (2014020141)

辽宁省社会科学规划基金项目(L14BTJ002, L16BJY001) (L14BTJ002, L16BJY001)

辽宁省教育科学"十二五"规划2015年度立项课题(JG15DB028) (JG15DB028)

计算机技术与发展

OACSTPCD

1673-629X

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