DocumentCode :
3410220
Title :
Segmentation-based progressive image coding
Author :
Wu, Xiaolin ; Fang, Yonggang
Author_Institution :
Dept. of Comput. Sci., Western Ontario Univ., Ont., Canada
fYear :
1993
fDate :
1993
Firstpage :
262
Lastpage :
271
Abstract :
The authors present, as an image pyramid, an adaptive, tree-structured segmentation to facilitate progressive transmission. The new image pyramid is semantically more powerful than regular tessellations while syntactically simpler than free segmentation. This good compromise between adaptability and complexity is a key to the high compression ratios achieved by the proposed image coder. The performance is further enhanced by exploiting the statistical dependency between layers of the image pyramid
Keywords :
adaptive systems; computational complexity; hierarchical systems; image coding; image segmentation; least squares approximations; tree data structures; vector quantisation; adaptability; complexity; compression ratios; image pyramid; performance; progressive image coding; tree-structured segmentation; Bandwidth; Bit rate; Computer vision; Geometry; Image coding; Image communication; Image reconstruction; Image resolution; Image segmentation; Layout;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Compression Conference, 1993. DCC '93.
Conference_Location :
Snowbird, UT
Print_ISBN :
0-8186-3392-1
Type :
conf
DOI :
10.1109/DCC.1993.253123
Filename :
253123
Link To Document :
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