Title :
Fast full search equivalent encoding algorithms for image compression using vector quantization
Author :
Huang, C.-M. ; Bi, Q. ; Stiles, G.S. ; Harris, R.W.
Author_Institution :
Dept. of Electr. Eng., Utah State Univ., Logan, UT, USA
fDate :
7/1/1992 12:00:00 AM
Abstract :
Three fast search routines to be used in the encoding phase of vector quantization (VQ) image compression systems are presented. These routines, which are based on geometric considerations, provide the same results as an exhaustive (or full) search. Examples show that the proposed algorithms need only 3-20% of the number of mathematical operations required by a full search and fewer than 50% of the operations required by recently proposed alternatives
Keywords :
data compression; encoding; picture processing; search problems; equivalent encoding algorithms; fast search routines; geometric considerations; image compression; vector quantization; Bismuth; Books; Data compression; Euclidean distance; Image coding; Image reconstruction; Lattices; Rate-distortion; Vector quantization;
Journal_Title :
Image Processing, IEEE Transactions on