Image coding using short wavelet-based contourlet transform

Chao Hsiung Hung*, Hsueh-Ming Hang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In this paper, we propose two enhanced elements on the wavelet-based contourlet transform (WBCT) image coding scheme. A short-length 2-D non-separable directional filter bank is designed for significantly reducing the calculation. New zero coding context models are designed to improve coding efficiency. Experiments show that the proposed compression scheme produces better visual quality images, particularly, with fine and regular texture at low rates. The short-length directional filter bank performs nearly as well as their long-length counterpart.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings
Pages2884-2887
Number of pages4
DOIs
StatePublished - Oct 2008
Event2008 IEEE International Conference on Image Processing, ICIP 2008 - San Diego, CA, United States
Duration: 12 Oct 200815 Oct 2008

Publication series

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

Conference

Conference2008 IEEE International Conference on Image Processing, ICIP 2008
CountryUnited States
CitySan Diego, CA
Period12/10/0815/10/08

Keywords

  • Bit-plane coding
  • Contourlet transform
  • Directional decomposition
  • Directional filter

Fingerprint Dive into the research topics of 'Image coding using short wavelet-based contourlet transform'. Together they form a unique fingerprint.

Cite this