A design of dual-tree complex wavelet transform based on least squares method

Takafumi Shimizu, Seisuke Kyochi, Masaaki Ikehara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, a novel design of dual-tree complex wavelet transform based on least squares method is proposed. An effective design method based on allpass filter with FIR has proposed by Selesnick. However, this method holds two problems. First, optimal frequency characteristic cannot be realized due to the restriction of design parameters. Second, approximation of the half sample delay condition is restricted on low frequency. The proposed method can achieve the high design degrees of freedom by using least squares method. It is shown that the method can design more effective dual-tree complex wavelet transform than conventional one, in terms of sharpness of frequency characteristic and accuracy of half sample delay condition, directionality and shift-invariance, by simulations. In the end of this paper, the performance of DTCWT designed by the proposed method for practical application, image denoising, is demonstrated. The proposed method outperforms the conventional method.

Original languageEnglish
Title of host publication2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009, Proceedings
Pages576-581
Number of pages6
DOIs
Publication statusPublished - 2009
Event2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009 - Marco Island, FL, United States
Duration: 2009 Jan 42009 Jan 7

Other

Other2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009
CountryUnited States
CityMarco Island, FL
Period09/1/409/1/7

Fingerprint

Wavelet transforms
Image denoising
Invariance

Keywords

  • Directionality
  • Dual-tree complex wavelet transform
  • Half sample delay condition
  • Least squares method
  • Shift invariance

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Shimizu, T., Kyochi, S., & Ikehara, M. (2009). A design of dual-tree complex wavelet transform based on least squares method. In 2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009, Proceedings (pp. 576-581). [4785989] https://doi.org/10.1109/DSP.2009.4785989

A design of dual-tree complex wavelet transform based on least squares method. / Shimizu, Takafumi; Kyochi, Seisuke; Ikehara, Masaaki.

2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009, Proceedings. 2009. p. 576-581 4785989.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Shimizu, T, Kyochi, S & Ikehara, M 2009, A design of dual-tree complex wavelet transform based on least squares method. in 2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009, Proceedings., 4785989, pp. 576-581, 2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009, Marco Island, FL, United States, 09/1/4. https://doi.org/10.1109/DSP.2009.4785989
Shimizu T, Kyochi S, Ikehara M. A design of dual-tree complex wavelet transform based on least squares method. In 2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009, Proceedings. 2009. p. 576-581. 4785989 https://doi.org/10.1109/DSP.2009.4785989
Shimizu, Takafumi ; Kyochi, Seisuke ; Ikehara, Masaaki. / A design of dual-tree complex wavelet transform based on least squares method. 2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009, Proceedings. 2009. pp. 576-581
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