DocumentCode
1188401
Title
Hierarchical finite-state vector quantization for image coding
Author
Yu, Ping ; Venetsanopoulos, Anastasios N.
Author_Institution
Dept. of Electr. Eng., Toronto Univ., Ont., Canada
Volume
42
Issue
11
fYear
1994
fDate
11/1/1994 12:00:00 AM
Firstpage
3020
Lastpage
3026
Abstract
The hierarchical finite-state vector quantization (HFSVQ) introduced in the paper is an improvement of the finite state vector quantization combined with hierarchical multirate image coding. Based on an understanding of the perception of human eye and the structural features of images, the HFSVQ technique employs different coding rates and different numbers of the predictive states for representative vector selection. The bit rate used to encode images is very low while the reconstructed images can still achieve a satisfactory perceptual quality
Keywords
block codes; finite state machines; image coding; image reconstruction; vector quantisation; HFSVQ; bit rate; coding rates; hierarchical finite-state vector quantization; image coding; perceptual quality; predictive states; reconstructed images; representative vector selection; Bit rate; Communications Society; Focusing; Gray-scale; Humans; Image coding; Image processing; Image reconstruction; Pixel; Vector quantization;
fLanguage
English
Journal_Title
Communications, IEEE Transactions on
Publisher
ieee
ISSN
0090-6778
Type
jour
DOI
10.1109/26.328983
Filename
328983
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