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New fast VQ encoding algorithm for image compression

In this paper, we propose a new encoding method called predictive sub-codebook searching (PSCS) algorithm for vector quantization of images. This algorithm not only allows searching of a portion of the codebook to find the minimum distortion codeword of an input vector, but also permits the sending of the index of the codeword in sub-codebooks which requires shorter bit-length representation than that of the whole codebook. Computer simulations using real images show that the PSCS algorithm is very efficient since it requires a minimum number of computations among several existing fast encoding algorithms, and there is also about 8 to 21 percent bit-rate reduction depending on the natures of the images.