摘要
通过对图像的子波包变换进行阈值操作 ,可以较好地滤除高斯白噪声 ,但图像中往往还含有脉冲噪声 ,运用中值滤波可以有效地滤除脉冲噪声 .将子波包变换和中值滤波相结合 ,可以有效地降低图像噪声 .达到比改进的均值滤波算法更理想的效果 .
Via the threshold operation on wavelet packet transform of images, Gauss color noise can be better filtered, yet there is usually many impulse noise in the images. Applying median filtering will effectively reduce the impulse noise, which can combine wavelet packet transform and median filter. This will be an effective approach for reducing image noise, and obtain more ideal effects than the improved mean filtering algorithm does.
出处
《武汉理工大学学报(交通科学与工程版)》
北大核心
2003年第1期53-55,共3页
Journal of Wuhan University of Technology(Transportation Science & Engineering)
基金
教育部骨干教师基金项目 (批准号 :教技司 [2 0 0 0 ] 65 )
湖北省科技攻关项目 (批准号 2 0 0 1AA10 1A0 4)资助
关键词
子波包变换
阈值操作
中值滤波
wavelet packet transform
threshold operation
median filtering