Entropy-constrained successively refinable scalar quantization
Hamid Jafarkhani, H. D. Brunk, Nariman Farvardin · 2002
We study the design of entropy-constrained successively refinable scalar quantizers. We propose two algorithms to minimize the average distortion and design such a quantizer. We consider two sets of constraints on the entropy: (i) constraint on the average rate and (ii) constraint on aggregate rates. Both algorithms can be easily extended to design vector quantizers.