Transform-based fine-coarse vector quantization

Kin Man Lam, Wan Chi Siu, Kai Ming Tse

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Fine-coarse vector quantization (FCVQ) is a fast method for searching an unstructured vector quantization codebook. This approach imposes slight distortion to the image and requires substantially large storage. The storage requirement restricts the dimension of the vector blocks hence the performance of this quantization scheme. In this paper, the FCVQ is designed in the transform domain (FCVQ-TB) to provide a possible solution to the problem on memory requirement. Experiments are given to evaluate the performance of the FCVQ-TB.
Original languageEnglish
Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems
PublisherPubl by IEEE
Pages671-674
Number of pages4
Volume1
ISBN (Print)0780312813
Publication statusPublished - 1 Jan 1993
Event1993 IEEE International Symposium on Circuits and Systems - Chicago, IL, United States
Duration: 3 May 19936 May 1993

Conference

Conference1993 IEEE International Symposium on Circuits and Systems
Country/TerritoryUnited States
CityChicago, IL
Period3/05/936/05/93

ASJC Scopus subject areas

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

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