Title :
Lapped orthogonal vector quantization
Author :
Malvar, Henrique S. ; Sullivan, Gary J. ; Wornell, Gregory W.
Author_Institution :
PictureTel Corp., Danvers, MA, USA
Abstract :
The blocking artifacts that arise in the use of traditional vector quantization (VQ) schemes can, in general, be virtually eliminated via an efficient lapped VQ strategy. With lapped VQ, blocks are obtained from the source in an overlapped manner, and reconstructed via superposition of overlapped codevectors. The new scheme, which we term lapped orthogonal vector quantization (LOVQ), requires no increase in bit rate and, in contrast to other proposed approaches, no significant increase in computational complexity or memory requirements. Attractively, the use of LOVQ also leads to a modest increase in coding gain over traditional VQ schemes of comparable complexity
Keywords :
computational complexity; image coding; transform coding; vector quantisation; bit rate; blocking artifacts; coding gain; computational complexity; efficient lapped VQ strategy; lapped orthogonal vector quantization; memory requirements; overlapped codevectors; reconstruction; superposition; Bit rate; Computational complexity; Data compression; Decoding; Image reconstruction; Laboratories; Rate-distortion; Speech; Table lookup; Vector quantization;
Conference_Titel :
Data Compression Conference, 1996. DCC '96. Proceedings
Conference_Location :
Snowbird, UT
Print_ISBN :
0-8186-7358-3
DOI :
10.1109/DCC.1996.488337