NDLI: Image denoising using multi-scale thresholds method in the wavelet domain

Content Provider	IEEE Xplore Digital Library
Author	Ming Tian Hao Wen Long Zhou Xinge You
Copyright Year	2010
Description	Author affiliation: Department of Electronics and Information Engineering, Huazhong University of Science and Technology, China (Ming Tian; Hao Wen; Xinge You) \|\| Department of Electronics and Information Engineering, Wuhan Polytechnic University, China (Long Zhou)
Abstract	Images often contain noise due to the capturing devices, environment and even human errors. For the image further processing, compression, fractal and so on, the image denoising is necessary. Wavelet analysis plays a very important role in the image denoising. In this paper, we improve the wavelet thresholding method by using multi-scale thresholds and a new thresholding function. Also, in case of large noise, a median Alter is suggested to be used at last. Based on Lipschitz exponent and wavelet transform, we theoretically give the multi-scale thresholds. In order to obtain a better denoising result, We also present a new thresholding function instead of the hard or soft thresholding function. Experiment results show that our improved method gives a higher PSNR and has less visual artifacts compared with other methods.
Starting Page	79
Ending Page	83
File Size	470432
Page Count	5
File Format	PDF
ISBN	9781424465309
e-ISBN	9781424465316
DOI	10.1109/ICWAPR.2010.5576434
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-11
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image edge detection Bayesian methods wavelet thresholding method wavelet transform Lipschitz exponent Image denoising
Content Type	Text
Resource Type	Article

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