DocumentCode
2263155
Title
Improved hierarchical vector quantization for image compression
Author
Yu, Ping ; Venetsanopoulos, Anastasios N.
Author_Institution
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
fYear
1993
fDate
16-18 Aug 1993
Firstpage
92
Abstract
In this paper, we present several contributions on hierarchical vector quantization for image compression: the hierarchical multirate vector quantization, the hierarchical finite state vector quantization, the edge modified vector quantization and the trimming vector quantization. These vector quantization techniques can reach compression ratios as high as 30-70 for monochrome image coding and 60-120 for colour image coding, while the reconstructed images still have satisfactory perceptual qualities
Keywords
image coding; vector quantisation; VQ methods; colour image coding; compression ratios; edge modified vector quantization; finite state vector quantization; hierarchical vector quantization; image compression; monochrome image coding; multirate vector quantization; trimming vector quantization; Bit rate; Block codes; Focusing; Image coding; Image reconstruction; Image segmentation; Pixel; Production facilities; Source coding; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on
Conference_Location
Detroit, MI
Print_ISBN
0-7803-1760-2
Type
conf
DOI
10.1109/MWSCAS.1993.343058
Filename
343058
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