期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2014
卷号：2
期号：6
出版社：S&S Publications
摘要：The main challenge in digital image processing is to remove noise from the original image. This paperreviews the existing denoising algorithms and performs their comparative study. Different noise models including additiveand multiplicative types are discussed in the paper.Selection of the denoising algorithm is application dependent. Hence, itis necessary to have knowledge about the noise present in the image so as to select the appropriate denoising algorithm.Here we put results of different approaches of wavelet based image denoising methods using several thresholdingtechniques such as BayesShrink,SureShrink, and VisuShrink.A quantitative measure of comparison is provided by SNR(signal to noise ratio) and mean square error (MSE).
关键词：Wavelet transforms; Spatial Filtering; BayesShrink; SureShrink; and VisuShrink
