This paper deals with a singular value decomposition (SVD) image coding scheme using Gain/Shape vector quantizers. We named this scheme "SVD-Gain/Shape vector quantization (SVD-G/SVQ)". Previously, we present the optimum structure of the codebook for SVD-G/SVQ, and its design algorithms. In this paper, we present experimental simulations of SVD-G/SVQ. Experimental simulations show that at about 0.5 (bit/pel) SVD-G/SVQ is similar in performance to the adaptive discrete cosine transform image coding scheme proposed by Chen and Smith.
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