A Fast Encoding and Index Lossless Compression of Vector Quantization 


Vol. 27,  No. 9, pp. 925-934, Sep.  2002


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  Abstract

Vector quantization has often been used for image compression because of its simple decoding process, however, this can increase the codebook size or vector dimension in order to increase coding efficiency, and it causes a number of problems such as, increased codebook generation time and encoding time, and large memory. The purpose of this per is to propose a modified algorithm for fast encoding and index lossless coding method, the former includes algorithms to reduce the search space using partial codebooks, and to introduce exit conditions, the latter uses variable length coding for the transferred VQ indexes.

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  Cite this article

[IEEE Style]

I. Jung, I. Choi, D. Lee, "A Fast Encoding and Index Lossless Compression of Vector Quantization," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 9, pp. 925-934, 2002. DOI: .

[ACM Style]

Il-hwa Jung, In-ho Choi, and Dai-young Lee. 2002. A Fast Encoding and Index Lossless Compression of Vector Quantization. The Journal of Korean Institute of Communications and Information Sciences, 27, 9, (2002), 925-934. DOI: .

[KICS Style]

Il-hwa Jung, In-ho Choi, Dai-young Lee, "A Fast Encoding and Index Lossless Compression of Vector Quantization," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 9, pp. 925-934, 9. 2002.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880