Texture Preserving Denoising Method Combining Total Variation and Wavelet Shrinkage  

作　　者：ZHANG Tao,FAN Qibin School of Mathematics and Statistics,Wuhan University,Wuhan 430072,Hubei,China 

出　　处：《Wuhan University Journal of Natural Sciences》2010年第1期31-35,共5页武汉大学学报（自然科学英文版）

基　　金：Supported by the National High Technology Research and Development Program of China (863 Program) (2008AA12Z201)

摘　　要：In this paper,we propose a new image denoising method that combines total variation（TV） method and wavelet shrinkage. In our method,a noisy image is decomposed into subbands of LL,LH,HL,and HH in wavelet domain. LL subband contains the low frequency coefficients along with less noise,which can be easily eliminated using TV-based method. More edges and other detailed information like textures are contained in the other three subbands,and we propose a shrinkage method based on the local variance to extract them from high frequency noise. Experimental results show that this method retains the edges and textures very well while removing noise.In this paper,we propose a new image denoising method that combines total variation（TV） method and wavelet shrinkage. In our method,a noisy image is decomposed into subbands of LL,LH,HL,and HH in wavelet domain. LL subband contains the low frequency coefficients along with less noise,which can be easily eliminated using TV-based method. More edges and other detailed information like textures are contained in the other three subbands,and we propose a shrinkage method based on the local variance to extract them from high frequency noise. Experimental results show that this method retains the edges and textures very well while removing noise.

关 键 词：WAVELET total variation TEXTURE local variance THRESHOLD 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TN911.73[自动化与计算机技术—计算机科学与技术]