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DCRVQ: a new strategy for efficient entropy coding of vector-quantized images

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3 Author(s)
De Natale, F.G.B. ; Dept. of Biophys. & Electr. Eng., Genova Univ., Italy ; Fioravanti, S. ; Giusto, D.D.

This paper presents a novel predictive coding scheme for image-data compression by vector quantization (VQ). On the basis of a prediction, further compression is achieved by using a dynamic codebook-reordering strategy that allows a more efficient Huffman encoding of vector addresses. The proposed method is lossless, for it increases the compression performances of a baseline vector quantization scheme, without causing any further image degradation. Results are presented and a comparison with Cache-VQ is made

Published in:

Communications, IEEE Transactions on  (Volume:44 ,  Issue: 6 )

Date of Publication:

Jun 1996

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