A new predictive vector quantization method using a smaller codebook

Authors:
Min Shi;Shengli Xie
Affiliations:
School of Electronics & Information Engineering, South China University of Technology, Guangzhou, Guangdong, China;School of Electronics & Information Engineering, South China University of Technology, Guangzhou, Guangdong, China
Venue:
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Year:
2005

Citing 2
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Vector quantization and signal compression

Vector quantization and signal compression
Fast search algorithms for vector quantization of images using multiple triangle inequalities and wavelet transform

IEEE Transactions on Image Processing

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Abstract

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.