文章基本信息

标题：Adaptive Wavelet Packet Decomposition for Efficient Image Denoising By Using NeighSure Shrink Method
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作者：Mahalakshmi B.V ; Anand M.J
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：4
页码：5003-5009
出版社：TechScience Publications
摘要：The search for efficient image denoising methods is still a valid challenge.This project presents adaptive wavelet packet(WP) decomposition along with the improved neighboring window method, which can determine neighbouring window size for every subband by using Stein’s unbiased risk estimate (NeighSure) to remove the additive white Gaussian noise. WP decomposition is used to obtain Optimum wavelet basis by utilizing Shannon entropy. Experimental results on different test images under different noise intensities shows that this algorithm yields better peak signal to noise ratio compared to the other existing methods, and feature similarity for the proposed method is obtained.
关键词：wavelet packet decomposition; NeighSure;Shannon entropy; Optimum wavelet basis; Feature similarity