This paper studies entropy-constrained deadzone quantizer design. It first
shows that for symmetric uni-modal distributions, the entropy of the quanti
zed output is a monotonic decreasing function of the outer bin-width of the
deadzone quantizer. Based on this result, a fast algorithm is introduced f
or optimal entropy-constrained deadzone quantizer design. As experimental r
esults, we give the optimal zero bin-width and outer bin-width for several
generalized Gaussian distributions that are often used to model ac coeffici
ent distributions in image and video transform coding.