Quantization is the process of representing a large set of input values with a much smaller set. In signal processing and image processing, Vector Quantization is a classical quantization which extends the scalar quantization to multi-dimensional space. It is widely used in many applications such as data compression, data correction, pattern recognition, and density estimation. This project pro...

This paper presents a review of vector quantization techniques used for encoding digital images. First the concept of vector quantization is introduced, then its application to digital images is explained. Spatial, predictive, transform, hybrid, binary, and subband vector quantizers are reviewed. The emphasis here is on the usefulness of the vector quantization when it is combined with conventi...

Kohonen's self-organizing feature map (KSOFM) is an adaptive vector quantization (VQ) scheme for progressive code vector update. However, KSOFM approach belongs to unconstrained vector quantization, which suuers from exponential growth of the codebook. In this paper, a learning tree-structured vector quantization (LTSVQ) is presented for overcoming this drawback, which is based on competitive l...

The waveform interpolation is one of the speech coding algorithms with high quality at low bit rates. In the WI coding, the vector quantization of SEW requires a variable dimension quantization technique since the dimension of the SEW amplitude spectrum varies depending on the pitch period. However, since the variable dimension vector makes a difficulty to employ conventional vector quantizatio...