Quantization and the method of k -means

Vector quantisation provides better rate‐distortion performance over scalar quantisation even for a random vector with independent dimensions. However, the design and implementation complexity of vector quantisers is much higher than that of scalar ...

Vector quantization (VQ) is an efficient data compression technique for low bit rate applications. However the major disadvantage of VQ is that its encoding complexity increases dramatically with bit rate and vector dimension. Even though one can use a ...

Vector quantization (VQ) is widely used in image processing applications, the primary focus of VQ is to determine a codebook to represent the original image well. In order to make a codebook perform better on both distortion and bit rate (BR), a general ...