一种基于小波和Wiener相结合图像去噪新方法  

New Method of Image De-noising Based on Wavelet and Wiener Filtering

作　　者：李东兵[1] 李国平[1] 滕国伟[1] 赵海武[1] 王国中[1] 罗平伟 李萍 

机构地区：[1]上海大学通信与信息工程学院,上海200072 [2]上海国茂数字技术有限公司,上海201204

出　　处：《电视技术》2013年第13期26-28,48,共4页Video Engineering

基　　金：上海大学创新基金资助项目(A.10-0107-10-003);国家自然科学基金项目(61271212)

摘　　要：提出一种新的小波变换和维纳滤波相结合的图像滤波方法。该滤波方法首先使用小波变换,将图像信号从时域变换到频域,结合新的Wiener方法对图像的高低频结果进行滤波处理。改进的自适应Wiener滤波器可以根据图像特性,在给定的多个模板间对图像进行自适应模板选择,使得滤波效果更加理想。实验结果表明,该方法比传统的维纳滤波和小波阈值去噪方法有较大的改善。A new method of image filtering is proposed,which combined with wiener filtering and Wavelet threshold filtering methods. The new filtering method mainly adopts that after the image be transform to frequency domain by wavelet transform, it filtering every different frequency part by the Wiener filtering method. This filter method can adaptively selects the filter template from different given templates,thus can get a better filtering result. Experi- mental results show that the new filter has much more improved performance subjectively and objectively compared with classic Wiener filter.

关 键 词：经典维纳滤波 新自适应维纳滤波 滤波模板自适应选择 

分 类 号：TN911.73[电子电信—通信与信息系统]