JPEG 2000 wavelet filter design framework with chaos evolutionary programming

Shu Mei Guo, Wen Hsin Chang, Jason S.H. Tsai, Bo Liang Zhuang, Li Chun Chen

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

JPEG 2000 is an international standard for still image compression, which is based on wavelet transformation and the Daubechies 9/7 filter adopted for lossy compression. Considering that a wavelet filter might be suitable for one image but not for the other in regard to compression quality, in this paper, we propose a novel filter design framework based on the Daubechies 9/7 filter, which employs chaos evolution programming (CEP) to optimize the wavelet filter for both the universal images and each specific image, respectively. The customized filter design is ready to incorporate into the JPEG 2000 compression/decompression since the filter coefficients can be constructed by only one tuning parameter, which can be easily packaged into the modified JPEG 2000 header. Experimental results show that CEP-trained filters achieve higher image quality.

Original languageEnglish
Pages (from-to)2542-2553
Number of pages12
JournalSignal Processing
Volume88
Issue number10
DOIs
Publication statusPublished - 2008 Oct

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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