DocumentCode
2629311
Title
Interpolation approaches to vector quantization for image compression
Author
Carrato, Sergio ; Passaggio, Filippo ; Rovetta, Stefano ; Zunino, Rodolfo
Author_Institution
Dipartimento di Elettrotecnica, Elettronica ed Inf., Trieste Univ., Italy
fYear
1996
fDate
4-6 Sep 1996
Firstpage
391
Lastpage
400
Abstract
Vector quantization (VQ) applies effectively to very low bit-rate image transmission. The high compression ratios are often balanced by limited reconstruction quality due to blockiness effects due to coarse quantization. Interpolating different codevectors can overcome such drawback by enhancing the generalization ability and the adaptiveness of the coding system at run time. Experimental results on real testbeds show the method´s advantages as compared with related techniques
Keywords
image coding; interpolation; vector quantisation; adaptiveness; blockiness effects; coarse quantization; codevectors; generalization ability; image compression; limited reconstruction quality; vector quantization; very low bit-rate image transmission; Image coding; Image communication; Image reconstruction; Interpolation; Iterative algorithms; Partitioning algorithms; Prototypes; Testing; Topology; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks for Signal Processing [1996] VI. Proceedings of the 1996 IEEE Signal Processing Society Workshop
Conference_Location
Kyoto
ISSN
1089-3555
Print_ISBN
0-7803-3550-3
Type
conf
DOI
10.1109/NNSP.1996.548369
Filename
548369
Link To Document