Interpolative Vector Quantization of Color Images

Hsueh-Ming Hang, Barry G. Haskell

Research output: Contribution to journalArticlepeer-review

53 Scopus citations

Abstract

Interpolative vector quantization has been devised to alleviate the visible block structure of coded images plus the sensitive codebook problems produced by a simple vector quantizer. In addition, the problem of selecting color components for color picture vector quantization is discussed. Computer simulations demonstrate the success of this new coding technique for color image compression at approximately 0.3 bits/ pel. Some background information on vector quantization is also provided.

Original languageEnglish
Pages (from-to)465-470
Number of pages6
JournalIEEE Transactions on Communications
Volume36
Issue number4
DOIs
StatePublished - Apr 1988

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