摘要
尝试利用基于小波变换和中值滤波相结合图像去噪声处理对同时含有高斯噪声和椒盐噪声的图像去噪方法进行了探讨.结果表明,小波变换结合中值滤波方法在去除图像噪声的同时较好地保持了图像所包含的边缘信息,处理效果优于单一的小波变换去噪或中值滤波.
In this paper,we try to use wavelet transformation in combining with median filter to process image that contained Guass noise and specking noise at the same time. The result indicates that this method can better keep the edge information of the original image and filtering noises synchronously. Its result is better than applied wavelet transformation or median filter only.
出处
《中原工学院学报》
CAS
2006年第1期22-25,共4页
Journal of Zhongyuan University of Technology
基金
河南省自然科学基金(004061000)
关键词
图像去噪
小波变换
中值滤波
image denoising
wavelet transformation
median filtering
