Adaptive resolution vector quantization technique and basic codebook design method for compound image compression

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

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

3 Citations (Scopus)

Abstract

In order to increase the performance of image compression by vector quantization (VQ), we propose a systematic codebook design method without using learning sequences for 4×4 and 2×2 pixel blocks. According to the method, the codebook can be applied to all kinds of images and exhibits equivalent compression performance to the specific codebooks created individually by conventional learning method using corresponding images. Furthermore, we have developed a novel VQ-based image-coding algorithm suitable for compound images. Adaptive resolution VQ (AR-VQ) method, which is composed of three key techniques, i.e., the edge detection, the resolution conversion, and the entropy coding, can realize much superior compression performance than the JPEG and the JPEG-2000. On the compression of the XGA (1024×768 pixels) images including text, for instance, there exist an overwhelming performance difference of 5 to 40 dB in compressed image quality.

Original languageEnglish
Title of host publicationProceedings - 2003 International Conference on Multimedia and Expo, ICME
PublisherIEEE Computer Society
PagesII549-II552
ISBN (Electronic)0780379659
DOIs
Publication statusPublished - 2003 Jan 1
Event2003 International Conference on Multimedia and Expo, ICME 2003 - Baltimore, United States
Duration: 2003 Jul 62003 Jul 9

Publication series

NameProceedings - IEEE International Conference on Multimedia and Expo
Volume2
ISSN (Print)1945-7871
ISSN (Electronic)1945-788X

Other

Other2003 International Conference on Multimedia and Expo, ICME 2003
CountryUnited States
CityBaltimore
Period03/7/603/7/9

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

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