A Dual Tree Complex Discrete Cosine Harmonic Wavelet Transform (ADCHWT) and Its Application to Signal/Image Denoising

• 作者: M. Shivamurti S. V. Narasimhan
• 来源期刊: 信号与信息处理(英文)
• 学科: 工学
• 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
• 年，卷（期）: 2011,（3）
• 页码范围: 218-226
• 页数: 9页
• 分类号: TP39

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.