文章基本信息

标题：Simulative analysis for Image Denoising using wavelet thresholding techniques
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作者：Virendra Kumar ; Ajay Kumar
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2013
卷号：2
期号：5
页码：1873-1878
出版社：Shri Pannalal Research Institute of Technolgy
摘要：This paper deals with the threshold estimation techniques in the wavelet transform domain filtering for image denoising. Wavelet transform based image denoising techniques are of greater interest due to its excellent localization property. The aim of this paper is to present an improved threshold in comparison of universal hard threshold which gives a better result by preserving the original image details. As a numerous papers have been published to restore an image from noisy distortions but selecting an appropriate threshold plays a major role in getting the desired image. Our improved threshold is a forward step towards this approach.
关键词：Image Denoising; Mean Square Error (MSE); ; Peak Signal to Noise Ratio (PSNR); Universal threshold; ; Wavelet thresholding