文章基本信息

标题：Research on Image Denoising with an Improved Wavelet Threshold Algorithm
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作者：Wang Qian
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2015
卷号：8
期号：9
页码：257-266
DOI：10.14257/ijsip.2015.8.9.27
出版社：SERSC
摘要：Wavelet denoising is a commonly used method in the field of image denoising algorithms, based on the analysis of the characteristics of estimated wavelet coefficients in the wavelet threshold denoising and the traditional soft threshold and hard threshold method, in the light of the discontinuity of hard threshold and fixed deviation of soft threshold, and non-differentiable of compromise algorithm, a wavelet threshold denoising algorithm is put forward which is continuous based on the wavelet coefficients and differentiable and variable threshold value deviation, the experimental results show that this method has better denoising effect and has good practical value
关键词：Image denoising; Wavelet algorithm; Threshold; Continuous differentiable