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Partitioned vector quantizer (PVQ) (Gersho and Gray, 1992) is one of the most popular structurally constrained vector quantizers for accurate data compression. The design of PVQ involves the partition of the original vector into a number of subvectors, and assignment of bits to each subcoder for the coding of subvectors. Conventionally, all the possible combinations of partitions and bit allocation...
One of the most important steps in the vector quantization of images is the design of the codebook. The codebook is generally designed using the LBG algorithm, that is in essence a clustering algorithm which uses a large training set of empirical data that is statistically representative of the image to be quantized. The LBG algorithm, although quite effective for practical applications, is computationally...
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