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
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;
Conference_Titel :
Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-1760-2
DOI :
10.1109/MWSCAS.1993.343058
