图像小波域维纳滤波去噪算法的改进  

The Improvement of Wavelet Domain Image Denoising Algorithm by Wiener Filtering

作　　者：严勇[1] 陈钟荣[1] 

机构地区：[1]南京信息工程大学电子工程系,江苏南京210044

出　　处：《南京气象学院学报》2005年第5期685-689,共5页Journal of Nanjing Institute of Meteorology

基　　金：国家自然科学基金资助项目(40275010)

摘　　要：介绍了小波变换和维纳滤波相结合的图像小波域维纳滤波去噪算法,在分析该算法最小均方误差期望的基础上提出一种改进算法。指出在进行维纳滤波之前,阈值化处理可以有效提高维纳滤波的性能。用标准测试图像的处理结果来比较改进前后两种算法的效果。The wavelet domain image denosing algorithm combining wavelet transform with Wiener filtering is first introduced in this paper. Based on the approximate analysis of its least mean square error（LMSE） expectation（ ELMSE ） ,an improved algorithm is proposed. It is pointed out that a thresholding operation before Wiener filtering can effectively improve the performance of Wiener filtering. The denoising effect of original and improved algorithms is also compared using processing results of a standard test image.

关 键 词：图像去噪 小波 维纳滤波 阈值化 

分 类 号：TN911.73[电子电信—通信与信息系统]