Analytic discrete cosine harmonic wavelet transform(ADCHWT) and its application to signal/image denoising

Author

Shivamurti, M. ; Narasimhan, Somenahalli Venkatarangachar

Author_Institution

Digital Signal Process. & Syst. Group, Nat. Aerosp. Labs. (CSIR), Bangalore, India

fYear

2010

fDate

18-21 July 2010

Firstpage

1

Lastpage

5

Abstract

A new simple and efficient 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 compared to that of DCHWT.

Keywords

Hilbert transforms; discrete cosine transforms; image denoising; wavelet transforms; ADCHWT extraction properties; Hilbert transform; analytic discrete cosine harmonic wavelet transform; image denoising; shift invariance; signal denoising; Discrete cosine transforms; Discrete wavelet transforms; Filter bank; Image reconstruction; Noise reduction; Wavelet analysis; Analytic discrete cosine harmonic wavelet transform; Analytic wavelet transform; DCT; Dual tree complex wavelet transform; Shift invariant wavelet transform; Wavelet transform denoising;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Communications (SPCOM), 2010 International Conference on

Conference_Location

Bangalore

Print_ISBN

978-1-4244-7137-9

Type

conf

DOI

10.1109/SPCOM.2010.5560554

Filename

5560554