Engineering Commons^™

Classified Vector Spiht For Wavelet Image Coding, Y. Liang, Scott E. Budge

Electrical and Computer Engineering Faculty Publications

Wavelet based image coding has been shown to be an effective method, especially at low bit rate. Two successful approaches, space-frequency quantization (SFQ) and set partitioning in hierarchical trees (SPIHT) were proposed to predict insignificant wavelet coefficients. However, both of them employ a simple scalar quantization scheme instead of powerful vector quantization for coding of the significant wavelet coefficients. In this paper we propose a new image coding method that combines the SPIHT type set partitioning technique with classified vector quantization. That is, the set partitioning technique is used to locate significant wavelet coefficient vectors based on vectors' energies. In …