Data Compression Conference (DCC '02)
Quantization as Histogram Segmentation: Globally Optimal Scalar Quantizer Design in Network Systems
Snao Bird, Utah
April 02-April 04
ISBN: 0-7695-1477-4
We propose a polynomial-time algorithm for optimal scalar quantizer design on discrete-alphabet sources. Special cases of the proposed approach yield optimal design algorithms for fixed-rate and entropy-constrained scalar quantizers, multi-resolution scalar quantizers, multiple description scalar quantizers, and Wyner-Ziv scalar quantizers. The algorithm guarantees globally optimal solutions for fixed-rate and entropy-constrained scalar quantizers and constrained optima for the other coding scenarios. We derive the algorithm by demonstrating the connection between scalar quantization, histogram segmentation, and the shortest path problem in a certain directed acyclic graph.
Index Terms:
optimal scalar quantization, dynamic programming, lossy coding
Citation:
Dan Muresan, Michelle Effros, "Quantization as Histogram Segmentation: Globally Optimal Scalar Quantizer Design in Network Systems," dcc, pp.0302, Data Compression Conference (DCC '02), 2002