现代电子技术Issue(10)：1-3,6,4.
一种改进的加权均值滤波算法
An improved weighted mean filtering algorithm
摘要
Abstract
Traditional median filtering algorithm and mean filtering algorithm can’t remove the noise effectively for the image polluted by impulse noise and Gauss noise simultaneously. Aiming at this problem,an improved weighted mean filtering algo⁃rithm is presented. The algorithm takes local threshold optimization to calculate weight of each pixel in filtering windows,and then the weighted operation of gray value of each pixel in window and its corresponding weight is performed. The result is taken as the filtering output of center pixel in the window. Simulation experiment results demonstrate the new algorithm has strong de⁃noising ability for images polluted by impulse noise and Gauss noise,and preserves more image details. Its effect is better than traditional median filtering algorithms,mean filtering algorithms and even the improved median filtering algorithm(IMF).关键词
脉冲噪声/高斯噪声/均值滤波/中值滤波Key words
impulse noise/Gauss noise/mean filtering/median filtering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..一种改进的加权均值滤波算法[J].现代电子技术,2015,(10):1-3,6,4.基金项目
国家自然科学基金基于博弈论的高效稳定聚类算法研究（61473045）；辽宁省高等学校实验室项目（L2012397）；博士后基金项目（2012M520158）；辽宁省“百千万人才工程”资助项目（2012921058）；教育厅科研一般项目 （）
