摘要
体外冲击波碎石(ESW L)图像通常呈现较低的信噪比和对比度。随着临床诊断技术的发展,噪声伪影的衰减技术成为一个重要课题。利用非抽取小波变换可以对图像进行平移不变的多尺度分解,结合均方误差意义上最优的自适应W iener滤波,在有效去除噪声的同时保持了图像的边缘细节。实验表明,该方法相对于传统方法更适于ESW L图像的降噪问题。
ESWL images often display poor signal-to-noise ratio (SNR) and contrast. With the development of clinic diagnosis techniques, there is a growing need to remove these noise artifacts. Using the undecimated wavelet transform which can perform translation-invariant multiscale decomposing for the images, combining adaptive Wiener filtering which is optimal in the sense of MSE, the noise can be removed effectively while most of the edges of images are retained. Experiments show that the proposed method performs better than the traditional method for ESWL images.
出处
《系统工程》
CSCD
北大核心
2006年第7期124-126,共3页
Systems Engineering
关键词
体外冲击波碎石
非抽取小波变换
维纳滤波
Extraeorporeal Shock Wave Lithotripsy
Undecimated Wavelet Transform
Wiener Filtering