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Application of Entropy-Constrained Vector Quantization to Subband Images
Vector quantization is a powerful way to compress images, rarely used in present compression schemes. We present here the use of this technique on subband images, by means on an entropy contrained quantization algorithm. The codebooks are predetermined on a set of images to speed up transmission. The outline of the method is presented, as well as some experimental results.