Title :
Vector quantization using the L/sub /spl infin// distortion measure
Author :
Mathews, V.John ; Hahn, Peter J.
Author_Institution :
Dept. of Electr. Eng., Utah Univ., Salt Lake City, UT, USA
Abstract :
This paper considers vector quantization of signals using the L/sub /spl infin// distortion measure. The key contribution is a result that allows one to characterize the centroid of a set of vectors for the L/sub /spl infin// distortion measure. A method similar to the Linde-Buzo-Gray (LBG) algorithm for designing codebooks has been developed and tested. The paper also discusses the design of vector quantizers employing the L/sub /spl infin// distortion measure in an application in which the occurrences of quantization errors with larger magnitudes than a preselected threshold must be minimized.
Keywords :
image coding; vector quantisation; L/sub /spl infin// distortion measure; Linde-Buzo-Gray algorithm; centroid; codebook design; image compression; quantization errors minimisation; signal compression; vector quantization; Algorithm design and analysis; Distortion measurement; H infinity control; Humans; Image coding; Image processing; NASA; Nearest neighbor searches; Testing; Vector quantization;
Journal_Title :
Signal Processing Letters, IEEE