A still image encoder based on adaptive resolution vector quantization realizing compression ratio over 1/200 featuring needless calculation elimination architecture

M. Fujibayashi, T. Nozawa, T. Nakayama, K. Mochizuki, M. Konda, Koji Kotani, Shigetoshi Sugawa, T. Ohmi

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)

Abstract

We have developed an advanced vector quantization (VQ) encoding hardware for still image encoding systems. By utilizing needless calculation elimination method, computational cost of VQ encoding is reduced to 40% or less, while maintaining the accuracy of full-search VQ. We have also developed a still image compression algorithm based on adaptive resolution VQ (AR-VQ), which realizes compression ratio over 1/200 while maintaining image quality. We have successfully implemented these two technologies into a still image encoding processor. The processor can compress still image of 1600 × 2400 pixels within one second, which is 60 times faster than software implementation on current PCs.

Original languageEnglish
Pages262-265
Number of pages4
Publication statusPublished - 2002 Dec 1
Event2002 Symposium on VLSI Circuits Digest of Technical Papers - Honolulu, HI, United States
Duration: 2002 Jun 132002 Jun 15

Other

Other2002 Symposium on VLSI Circuits Digest of Technical Papers
CountryUnited States
CityHonolulu, HI
Period02/6/1302/6/15

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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