文章基本信息

标题：An Improved Image Denoising Method Based on Wavelet Thresholding
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作者：Hari Om ; Mantosh Biswas
期刊名称：Journal of Signal and Information Processing
印刷版ISSN：2159-4465
电子版ISSN：2159-4481
出版年度：2012
卷号：3
期号：1
页码：109-116
DOI：10.4236/jsip.2012.31014
出版社：Scientific Research Publishing
摘要：VisuShrink, ModineighShrink and NeighShrink are efficient image denoising algorithms based on the discrete wavelet transform (DWT). These methods have disadvantage of using a suboptimal universal threshold and identical neighbouring window size in all wavelet subbands. In this paper, an improved method is proposed, that determines a threshold as well as neighbouring window size for every subband using its lengths. Our experimental results illustrate that the proposed approach is better than the existing ones, i.e., NeighShrink, ModineighShrink and VisuShrink in terms of peak signal-to-noise ratio (PSNR) i.e. visual quality of the image.
关键词：Wavelet Transforms; Neighboring Coefficients; Wavelet Thresholding; Image Denosing; Neighbouring Coefficients; Peak Signal-to-Noise Ratio