2-D anisotropic dual-tree complex wavelet packets and its application to image denoising

Jingyu Yang, Wenli Xu, Yao Wang, Qionghai Dai

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

Abstract

In this paper, we extend the 2-D dual-tree complex wavelet transform (DTCWT) to an adaptive anisotropic dualtree complex wavelet packets (ADTCWP). The DTCWT subbands are iteratively decomposed into anisotropic complex wavelet packets, generating anisotropic wavelets and increasing the number of wavelets orientations without introducing extra redundancy. Then a basis selection procedure is applied so that the selected complex wavelet packets are well adapted to image characteristics. The effectiveness of ADTCWP is examined in image denoising with a bivariate statistical model. The ADTCWP-based denoising scheme shows better denoising results than several DTCWT-based methods for image with rich directional features. The denoised images recovered by the proposed scheme are visually more appealing.

Original languageEnglish (US)
Title of host publication2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings
Pages2328-2331
Number of pages4
DOIs
StatePublished - 2008
Event2008 IEEE International Conference on Image Processing, ICIP 2008 - San Diego, CA, United States
Duration: Oct 12 2008Oct 15 2008

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2008 IEEE International Conference on Image Processing, ICIP 2008
CountryUnited States
CitySan Diego, CA
Period10/12/0810/15/08

Keywords

  • Anisotropic decomposition
  • Bivariate shrinkage
  • Dual-tree complex wavelet
  • Image denoising

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • Cite this

    Yang, J., Xu, W., Wang, Y., & Dai, Q. (2008). 2-D anisotropic dual-tree complex wavelet packets and its application to image denoising. In 2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings (pp. 2328-2331). [4712258] (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2008.4712258