一种小波自适应比例萎缩去噪改进算法  

Improved De-noising Algorithm Based on Adaptive Proportional-shrink in Wavelet Field

作　　者：郭蕾[1] 田松[2] 许悦雷[2] 李涛[2] 

机构地区：[1]空军装备研究院航空装备研究所,北京100076 [2]空军工程大学航空航天工程学院,陕西西安710038

出　　处：《电视技术》2012年第11期27-29,46,共4页Video Engineering

基　　金：航空科学基金资助项目(20115896022)

摘　　要：作为小波应用于图像去噪的一种重要的方法,小波比例萎缩法具有很强的局部自适应能力,它的去噪效果与Donoho的收缩法相比有了很大的提高。但是比例萎缩法有其自身缺陷,重建后的图像容易出现"波纹"状噪声。从产生这种噪声的原理入手,提出了一种对方差估计进行改进的算法,很好地克服了比例萎缩法中出现的这种噪声,提高了图像的去噪质量。As an important method applied to image de-noising in wavelet field, adaptive proportional-shrinking algorithm has a strong local adaptive capacity in wavelet domain. Compared with Donoho＇s shrinking method, its effect has been greatly improved. But the proportional-shrinking ＇algorithm has defects and the image is prone to the ripple-noise after reconstruction. Starting from the principle to produce this noise, an algorithm which improves the variance estimation is proposed in this paper. The ripple-noise which appeared in proportional-shrinking algorithm is well overcome and the quality of image is greatly improved.

关 键 词：小波去噪 自适应比例萎缩法 方差估计改进 

分 类 号：TN911.73[电子电信—通信与信息系统] TP391.41[电子电信—信息与通信工程]