文章基本信息

标题：Comparative Analysis of Speckle Noise Reduction Techniques and Their Affect on Image Edge Localization
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作者：Rakesh Singh ; Amandeep Kaur
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2011
卷号：2
期号：4Ver1
出版社：Ayushmaan Technologies
摘要：Noise removal is an essential element of image processing. Depending on the noise types, the noisy image can be generally modeled as one of the two models: additive model and multiplicative model. Speckle is a form of multiplicative noise which is more difficult to suppress than additive noise. Non linear partial differential equations (PDE) and wavelets which are local in nature are the emerging techniques for speckle reduction. This paper compares and analyzes the behavior of these two techniques. Through experimental results both qualitative and quantitative it is shown that orthogonal undecimated wavelet transform gives much improved results than non linear PDE method and the traditional techniques..
关键词：wavelets; discrete wavelet transform; un-decimated wavelet;transform; bi-orthogonal wavelet; de-noising signals.des.