Image coding using 2-D anisotropic dual-tree discrete wavelet transform

Jingyu Yang, Jizheng Xu, Feng Wu, Qionghai Dai, Yao Wang

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

Abstract

We propose an image coding scheme using 2-D anisotropic dual-tree discrete wavelet transform (DDWT). First, we extend 2-D DDWT to anisotropic decomposition, and obtain more directional subbands. Second, an iterative projection-based noise shaping algorithm is employed to further sparsify anisotropic DDWT coefficients. At last, the resulting coefficients are rearranged to preserve zero-tree relationship so that they can be efficiently coded with SPIHT. Experimental results show that our proposed scheme outperforms JPEG2000 and SPIHT at low bit rates despite the redundancy of DDWT.

Original languageEnglish (US)
Title of host publication2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings
PublisherIEEE Computer Society
PagesIII165-III168
ISBN (Print)1424414377, 9781424414376
DOIs
StatePublished - Jan 1 2007
Event14th IEEE International Conference on Image Processing, ICIP 2007 - San Antonio, TX, United States
Duration: Sep 16 2007Sep 19 2007

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume3
ISSN (Print)1522-4880

Other

Other14th IEEE International Conference on Image Processing, ICIP 2007
CountryUnited States
CitySan Antonio, TX
Period9/16/079/19/07

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Keywords

  • 2-D DDWT
  • Anisotropic decomposition
  • Redundant wavelet transform

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Yang, J., Xu, J., Wu, F., Dai, Q., & Wang, Y. (2007). Image coding using 2-D anisotropic dual-tree discrete wavelet transform. In 2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings (pp. III165-III168). [4379272] (Proceedings - International Conference on Image Processing, ICIP; Vol. 3). IEEE Computer Society. https://doi.org/10.1109/ICIP.2007.4379272