文章基本信息

标题：Study of Denoising Method of Images- A Review
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作者：Sharma, S. ; Gupta, K ; Sairam, R. M 等
期刊名称：International Journal of Electronics Communication and Computer Engineering
印刷版ISSN：2249-071X
电子版ISSN：2278-4209
出版年度：2013
卷号：4
期号：3
页码：1027-1030
出版社：IJECCE
摘要：This paper attempts to undertake the study of Denoising Methods. Different noise densities have been removed by using filters Wavelet based Methods. Fourier transform method is localized in frequency domain where the Wavelet transform method is localized in both frequency and spatial domain but both the above methods are not data adaptive .Independent Component Analysis (ICA) is a higher order statistical tool for the analysis of multidimensional data with inherent data adaptiveness property. In This paper we try to presents a review of some significant work in the area of image denoising and finds the one is better for image denoising. Here, some popular approaches are classified into different groups .after that we conclude for best technique for Image Denoising
关键词：Wavelet; PCA; Adaptive PCA; ICA