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Sequential scalar quantization of vectors: an analysis
1995
IEEE Transactions on Image Processing
We propose an efficient vector quantization (VQ) technique which we call sequential scalar quantization (SSQ). The scalar components of the vector are individually quantized in a sequence, with the quantization of each component utilizing conditional information from the quantization of previous components. Unlike conventional independent scalar quantization (ISQ), SSQ has the ability to exploit inter-data correlation. At the same time, since quantization is performed on scalar rather than
doi:10.1109/83.413172
pmid:18292024
fatcat:7f54abmzbncotb5g5oo2b6rrwu