F. Kossentini et al., CONDITIONAL ENTROPY-CONSTRAINED RESIDUAL VQ WITH APPLICATION TO IMAGE-CODING, IEEE transactions on image processing, 5(2), 1996, pp. 311-320
This paper introduces an extension of entropy-constrained residual vec
tor quantization (VQ) where intervector dependencies are exploited, Th
e method, which we call conditional entropy-constrained residual VQ, e
mploys a high-order entropy conditioning strategy that captures local
information in the neighboring vectors, When applied to coding images,
the proposed method is shown to achieve better rate-distortion perfor
mance than that of entropy-constrained residual vector quantization wi
th less computational complexity and lower memory requirements. Moreov
er, it can be designed to support progressive transmission in a natura
l way, It is also shown to outperform some of the best predictive and
finite-state VQ techniques reported in the literature, This is due par
tly to the joint optimization between the residual vector quantizer an
d a high-order conditional entropy coder as well as the efficiency of
the multistage residual VQ structure and the dynamic nature of the pre
diction.