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Erschienen in:
2005 | OriginalPaper | Buchkapitel
A New Predictive Vector Quantization Method Using a Smaller Codebook
verfasst von : Min Shi, Shengli Xie
Erschienen in: Advances in Natural Computation
Verlag: Springer Berlin Heidelberg
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For improving coding efficiency, a new predictive vector quantization (VQ) method was proposed in this paper. Two codebooks with different dimensionalities and different size were employed in our algorithm. The defined blocks are first classified based on variance. For smooth areas, the current processing vectors are sampled into even column vectors and odd column vectors. The even column vectors are encoded with the lower-dimensional and smaller size codebook. The odd ones are predicted using the decoded pixels from intra-blocks and inter-blocks at the decoder. For edge areas, the current processing vectors are encoded with traditional codebook to maintain the image quality. An efficient method for codebook design was also presented to improve the quality of the resulted codebook. The experimental comparisons with the other methods show good performance of our algorithm.