摘要
针对VisuShrink小波阈值滤波算法的不足和混合噪声的情况,提出了一种基于噪声分离和尺度的自适应混合图像去噪算法。算法首先通过极值检测分离脉冲噪声和高斯噪声,然后分别对脉冲噪声应用多窗口中值滤波及高斯噪声应用基于尺度的小波阈值滤波完成去噪。实验表明,该混合滤波算法能有效去除图像中的脉冲噪声和高斯噪声,并较好地保存了图像细节。
In view of the limit of Visushrink thresholding and the cases of mixed noises,a mixed adaptive image denoising algorithm based on noise isolation and wavelet scale is proposed.Firstly,the impulse noise and Gaussian noise are separated by extreme value detection,and then the impulse noise is processed by multi-window median filter,while the improved wavelet thresholding is applied to the Gaussian noise.Experiments show that the mixed filter algorithm can effectively remove impulse noise and Gaussian noise in the image and preserve the image details as well.
出处
《电子科技》
2011年第5期94-96,101,共4页
Electronic Science and Technology
关键词
图像处理
小波阈值
自适应中值滤波
小波滤波
image processing
wavelet thresholding
adaptive median filter
wavelet filter
