Title :
Vector quantization of images using the L∞ distortion measure
Author_Institution :
Dept. of Electr. Eng., Utah Univ., Salt Lake City, UT, USA
Abstract :
This paper considers vector quantization of signals using the L ∞ distortion measure. The key contribution is a result that allows one to characterize the centroid of a set of vectors for the L∞ distortion measure. A method similar to the LEG algorithm for designing codebooks has been developed and tested. The paper also discusses the design of vector quantizers employing the L∞ distortion measure in an application in which the occurrences of quantization errors with larger magnitudes than a pre-selected threshold must be minimized
Keywords :
coding errors; image coding; vector quantisation; L∞ distortion measure; centroid; images; quantization errors; threshold; vector quantization; Algorithm design and analysis; Differential equations; Distortion measurement; Vector quantization;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.529051