文章基本信息

标题：A Dual Tree Complex Discrete Cosine Harmonic Wavelet Transform (ADCHWT) and Its Application to Signal/Image Denoising
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作者：M. Shivamurti ; S. V. Narasimhan
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：2011
卷号：2
期号：3
页码：218-226
DOI：10.4236/jsip.2011.23030
出版社：Scientific Research Publishing
摘要：A new simple and efficient dual tree analytic wavelet transform based on Discrete Cosine Harmonic Wavelet Transform DCHWT (ADCHWT) has been proposed and is applied for signal and image denoising. The analytic DCHWT has been realized by applying DCHWT to the original signal and its Hilbert transform. The shift invariance and the envelope extraction properties of the ADCHWT have been found to be very effective in denoising speech and image signals, compared to that of DCHWT.
关键词：Analytic Discrete Cosine Harmonic Wavelet Transform; Analytic Wavelet Transform; Dual Tree Complex Wavelet Transform; DCT; Shift Invariant Wavelet Transform; Wavelet Transform Denoising