Still image compression method based on adaptive block segmentation vector quantization technique

T. Nakayama, K. Takeuchi, M. Konda, Koji Kotani, T. Ohmi

Research output: Contribution to conferencePaperpeer-review

Abstract

In order to increase the performance of image compression by Vector Quantization (VQ), we have developed a new still image compression algorithm. Adaptive block segmentation vector quantization (ABS-VQ) method, which is composed of three key techniques, i.e., the resolution conversion, the quad tree data structure and the Mean-Residual VQ, can realize much superior compression performance than the worldwide standard JPEG and JPEG-2000. On the compression of the XGA (1024×768 pixels), SXGA (1280×1024 pixels) and UXGA (1600×1200 pixels) images including text, for instance, there exists the overwhelming performance superiority of more than 5 dB in compressed image quality.

Original languageEnglish
Pages275-278
Number of pages4
Publication statusPublished - 2003 Dec 17
EventProceedings: 2003 International Conference on Image Processing, ICIP-2003 - Barcelona, Spain
Duration: 2003 Sep 142003 Sep 17

Other

OtherProceedings: 2003 International Conference on Image Processing, ICIP-2003
CountrySpain
CityBarcelona
Period03/9/1403/9/17

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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