数学的实践与认识
數學的實踐與認識
수학적실천여인식
MATHEMATICS IN PRACTICE AND THEORY
2009年
23期
135-139
,共5页
叶鸿瑾%李祥生%满晰%刘红耀
葉鴻瑾%李祥生%滿晰%劉紅耀
협홍근%리상생%만석%류홍요
小渡变换%中值滤波%图像去噪
小渡變換%中值濾波%圖像去譟
소도변환%중치려파%도상거조
wavelet transform%median filtering%image denoising
小波变换能有效的去除高斯噪声,中值滤波能有效的去除脉冲噪声,两者结合可以更有效的去除高斯噪声和脉冲噪声的混合噪声.当医学图像去除混合噪声时,先进行中值滤波再进行小波去噪的方法优于先进行小波去噪后再进行中值滤波的方法,且去噪后图像视觉效果较好,而且图像均方误差(MSE)也较小.在图像去噪处理中这种方法具有实际应用价值.
小波變換能有效的去除高斯譟聲,中值濾波能有效的去除脈遲譟聲,兩者結閤可以更有效的去除高斯譟聲和脈遲譟聲的混閤譟聲.噹醫學圖像去除混閤譟聲時,先進行中值濾波再進行小波去譟的方法優于先進行小波去譟後再進行中值濾波的方法,且去譟後圖像視覺效果較好,而且圖像均方誤差(MSE)也較小.在圖像去譟處理中這種方法具有實際應用價值.
소파변환능유효적거제고사조성,중치려파능유효적거제맥충조성,량자결합가이경유효적거제고사조성화맥충조성적혼합조성.당의학도상거제혼합조성시,선진행중치려파재진행소파거조적방법우우선진행소파거조후재진행중치려파적방법,차거조후도상시각효과교호,이차도상균방오차(MSE)야교소.재도상거조처리중저충방법구유실제응용개치.
Wavelet transform can reduce Gaussian noise effectively and median filtering can reduce impulse noise effectively. The combine of wavelet transform and median filtering can reduce mixed noise of Gaussian and impulse more effectively. When medical image with mixed noise is denoised, the way that median filtering is firstly used is better than one that wavelet transform is firstly used. And effect of image vision is good, moreover mean-square error { MSE } is small too. The method has the actual application value in image denoising processing.