现代电子技术
現代電子技術
현대전자기술
MODERN ELECTRONICS TECHNIQUE
2015年
10期
1-3,6
,共4页
沈德海%侯建%鄂旭%张龙昌
瀋德海%侯建%鄂旭%張龍昌
침덕해%후건%악욱%장룡창
脉冲噪声%高斯噪声%均值滤波%中值滤波
脈遲譟聲%高斯譟聲%均值濾波%中值濾波
맥충조성%고사조성%균치려파%중치려파
impulse noise%Gauss noise%mean filtering%median filtering
当图像中同时存在脉冲噪声和高斯噪声时，传统的中值滤波算法和均值滤波算法均不能达到较好的去噪效果。针对这一问题，提出了一种改进的加权均值滤波算法。算法采用局部阈值优化的方法计算各像素点的权值，将滤波窗口各像素点的灰度值与对应的权值进行加权运算，结果作为窗口中心点的滤波输出。仿真实验结果证明，该算法对脉冲噪声和高斯噪声具有较强的去噪能力，且较好地保持了图像的细节，效果均优于传统中值、均值滤波算法和改进的中值滤波算法（IMF）。
噹圖像中同時存在脈遲譟聲和高斯譟聲時，傳統的中值濾波算法和均值濾波算法均不能達到較好的去譟效果。針對這一問題，提齣瞭一種改進的加權均值濾波算法。算法採用跼部閾值優化的方法計算各像素點的權值，將濾波窗口各像素點的灰度值與對應的權值進行加權運算，結果作為窗口中心點的濾波輸齣。倣真實驗結果證明，該算法對脈遲譟聲和高斯譟聲具有較彊的去譟能力，且較好地保持瞭圖像的細節，效果均優于傳統中值、均值濾波算法和改進的中值濾波算法（IMF）。
당도상중동시존재맥충조성화고사조성시，전통적중치려파산법화균치려파산법균불능체도교호적거조효과。침대저일문제，제출료일충개진적가권균치려파산법。산법채용국부역치우화적방법계산각상소점적권치，장려파창구각상소점적회도치여대응적권치진행가권운산，결과작위창구중심점적려파수출。방진실험결과증명，해산법대맥충조성화고사조성구유교강적거조능력，차교호지보지료도상적세절，효과균우우전통중치、균치려파산법화개진적중치려파산법（IMF）。
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).
