基于均值滤波和小波分析的图像去噪  

Image denoising based on mean filter and wavelet analysis

作　　者：史玉林[1] 李飞飞[1] 孙益顶[1] 

机构地区：[1]南开大学物理学院,天津300071

出　　处：《电子测量技术》2008年第8期140-142,157,共4页Electronic Measurement Technology

摘　　要：由于均值滤波在抑制噪声的过程中会损失图像的边缘等细节信息,从而导致整幅图像的模糊不清,而小波分析在图像处理中具有较强的图像增强能力,故而采用两种滤波方法的结合来处理含噪图像。通过实验证明,该法在处理含噪图像时,不仅很好地降低了噪声,而且还较好地保留了原图像的边缘等细节信息,使得图像的对比度增强,增进了图像的视觉效果。两者的有机结合使得图像的去噪效果比单独使用其中一种更优。Details of image are broken by mean filter in image precessing, and consequently the image turns out to be blurry. Wavelet analysis is powerful in image enhancement. Considering all these factors mentioned above, combination of mean filter and wavelet is adopted to cope with image with noise . Experiment result positively shows that this method removes noise effectively, meanwhile,details of image are well kept, and contrast and visual effect of image are improved. This combination method is much better than single usage in denoising image.

关 键 词：均值滤波 小波分析 图像去噪 图像增强 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]