Dynamic codebook adaptive vector quantization for image compression

Kwok Tung Lo, Shing Mo Cheng

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

Abstract

In this paper, a new coding scheme called dynamic codebook adaptive vector quantization (DCAVQ) is presented for image coding. The proposed system is intended to solve the overhead and complexity problem of existing adaptive vector quantization systems. Simulation results demonstrate that a gain of around 2dB in PSNR upon the universal vector quantizer, together with a better quality especially in the high contrast areas, is acquired. On the other hand, the execution time of the system is being comparable to that of a standard universal VQ system.
Original languageEnglish
Title of host publicationIEEE International Conference on Communications
PublisherIEEE
Pages137-141
Number of pages5
Publication statusPublished - 1 Jan 1996
EventProceedings of the 1996 IEEE International Conference on Communications, ICC'96. Part 1 (of 3) - Dallas, TX, United States
Duration: 23 Jun 199627 Jun 1996

Conference

ConferenceProceedings of the 1996 IEEE International Conference on Communications, ICC'96. Part 1 (of 3)
CountryUnited States
CityDallas, TX
Period23/06/9627/06/96

ASJC Scopus subject areas

  • Engineering(all)

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