文章基本信息

标题：Application of Wavelet and Wiener Filtering Algorithm in Image De-Noising
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作者：Yuanmei Wang ; Tao Li
期刊名称：Open Access Library Journal
印刷版ISSN：2333-9705
电子版ISSN：2333-9721
出版年度：2016
卷号：3
期号：1
页码：1-7
DOI：10.4236/oalib.1102319
语种：English
出版社：Scientific Research Pub
摘要：Image is often easily polluted by noise in the process of image processing, so image de-noising is an important step in the field of image processing. Based on the wavelet threshold de-noising algorithm, an improved image de-noising algorithm based on wavelet and Wiener filter is proposed in this paper, which can effectively reduce the Gaussian white noise. Firstly we use wavelet soft threshold to reduce noise, then use Wiener filter to process the image and get the valuation of the image. Experimental results show that the proposed algorithm on image de-noising not only can effectively suppress Gaussian white noise, but also can well retain the details of image edges.
关键词：Image De-NoisingThreshold FunctionWavelet Soft ThresholdWiener Filtering