Title :
Fast multi-stage VQ search for the BTC-VQ algorithm
Author :
Weitzman, Avi ; Mitchell, H.B.
Author_Institution :
Ben Gurion Univ. of the Negev, Beer Sheva, Israel
Abstract :
Block truncation coding (BTC) is a simple fast image compression algorithm with a low compression rate of 2 bits-pel. Vector quantization of the BTC outputs can reduce the bit-rate to 1 bit/pel but then the computating time becomes very large. This paper describes a multi-stage VQ algorithm which substantially reduces the time required
Keywords :
block codes; computational complexity; image coding; search problems; vector quantisation; block truncation coding; computating time; fast image compression; multi-stage VQ algorithm; search; Books; Electronics industry; Image coding; Image reconstruction; Iterative algorithms; Pixel; Vector quantization;
Conference_Titel :
Electrical and Electronics Engineers in Israel, 1991. Proceedings., 17th Convention of
Conference_Location :
Tel Aviv
Print_ISBN :
0-87942-678-0
DOI :
10.1109/EEIS.1991.217668
