Fuzzy vector quantization algorithms and their application in image compression

Abstract

This paper presents the development and evaluation of fuzzy vector quantization algorithms. These algorithms are designed to achieve the quality of vector quantizers provided by sophisticated but computationally demanding approaches, while capturing the advantages of the frequently used in practice k-means algorithm, such as speed, simplicity, and… (More)
DOI: 10.1109/83.413164

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