计算机应用与软件
計算機應用與軟件
계산궤응용여연건
COMPUTER APPLICATIONS AND SOFTWARE
2013年
12期
97-99,116
,共4页
高斯噪声%图像去噪%均值滤波%噪声方差
高斯譟聲%圖像去譟%均值濾波%譟聲方差
고사조성%도상거조%균치려파%조성방차
Gaussian noise%Image de-noising%Average filtering%Noise variance
针对均值滤波在抑制噪声的过程中会损失图像的边缘等细节信息从而导致整幅图像模糊的问题，提出一种均值滤波改进算法。算法中局部窗口内中心像素灰度均值的计算既考虑了窗口内各像素与中心像素间的灰度值差异，又顾及了窗口内各像素与中心像素间的距离。实验结果表明，该算法能有效去除噪声，较好地保留图像边缘细节，相比传统均值滤波和自适应均值滤波算法有更好的去噪能力。
針對均值濾波在抑製譟聲的過程中會損失圖像的邊緣等細節信息從而導緻整幅圖像模糊的問題，提齣一種均值濾波改進算法。算法中跼部窗口內中心像素灰度均值的計算既攷慮瞭窗口內各像素與中心像素間的灰度值差異，又顧及瞭窗口內各像素與中心像素間的距離。實驗結果錶明，該算法能有效去除譟聲，較好地保留圖像邊緣細節，相比傳統均值濾波和自適應均值濾波算法有更好的去譟能力。
침대균치려파재억제조성적과정중회손실도상적변연등세절신식종이도치정폭도상모호적문제，제출일충균치려파개진산법。산법중국부창구내중심상소회도균치적계산기고필료창구내각상소여중심상소간적회도치차이，우고급료창구내각상소여중심상소간적거리。실험결과표명，해산법능유효거제조성，교호지보류도상변연세절，상비전통균치려파화자괄응균치려파산법유경호적거조능력。
Details of image are broken by mean filter in image processing , and consequently the image turns out to be blurry .In light of this, we propose a modified average filtering algorithm .In the algorithm, the computation of gray averaging value of central pixel in local window considers both the gray value difference and the spatial distance between the central pixel and other neighbouring pixels in current local window.Experimental results show that the presented algorithm can effectively remove Gaussian noise as well as preserving the edge details of the image well .It is superior to tradition mean filter and adaptive averaging filter algorithms in de-noise capability .
