Title :
Multiple-cost constraints for the design of tree-structured vector quantizers
Author_Institution :
Dept. of Comput. Sci., Eastern Connecticut State Univ., Willimantic, CT, USA
fDate :
6/1/1995 12:00:00 AM
Abstract :
Minimizing the distortion subject to a cost constraint is fundamental in the design of tree-structured vector quantizers. Because of various competing cost measures, the use of single-cost constraints has led to undesirable results. The author studies the relationships among several cost functions and shows how multiple-cost constraints can be used to significantly improve tree design
Keywords :
image coding; minimisation; tree data structures; vector quantisation; cost constraint; cost functions; design; distortion; multiple-cost constraints; tree-structured vector quantizers; Algorithm design and analysis; Cost function; Data compression; Distortion measurement; Loss measurement; Multidimensional systems; Partitioning algorithms; Time measurement; Tree data structures; Vector quantization;
Journal_Title :
Image Processing, IEEE Transactions on
