An Improvement on Computation Cost and Compression Ratio of Vector Quantization


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 7, No. 11, pp. 3462-3469, Nov. 2000
10.3745/KIPSTE.2000.7.11.3462,   PDF Download:

Abstract

In this paper, new image vector quantization method for improvement computation cost and compression ratio is proposed. A proposed method could saved the computation cost of codebook generation and encoding using partial codebook search, partial codevector elements, and interruption criterion. And, to improve compression ratio of codebook index lossless coding, codebook rearrangement and variable length coding scheme are used.


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Cite this article
[IEEE Style]
I. H. Jung, C. S. Hong, D. Y. Lee, "An Improvement on Computation Cost and Compression Ratio of Vector Quantization," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 7, no. 11, pp. 3462-3469, 2000. DOI: 10.3745/KIPSTE.2000.7.11.3462.

[ACM Style]
Il Hwa Jung, Choong Seon Hong, and Dai Young Lee. 2000. An Improvement on Computation Cost and Compression Ratio of Vector Quantization. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 7, 11, (2000), 3462-3469. DOI: 10.3745/KIPSTE.2000.7.11.3462.