DocumentCode :
2039012
Title :
Multi-layer image compression algorithm for e-commerce
Author :
Kounchev, Ruimen ; Kouncheva, Rumiana ; Rubin, Stuart H. ; Milanova, Mariofanna
Author_Institution :
Lab. of Image Process., Tech. Univ. of Sofia, Bulgaria
Volume :
4
fYear :
2001
fDate :
2001
Abstract :
A new method for pyramidal image decomposition called inverse is presented. This method permits to obtain first low resolution components while mainly concentrating image energy in these first components. Each one of its components is defined on the basis of approximating models representing the so called oriented surfaces of second degree, which constitute the different levels of the corresponding difference pyramid in the image space with minimum mean-square error (MSE). The inverse pyramidal decomposition (IPD) is compared to the pyramidal structures based on the well-known Laplacian pyramid and to the related reduced pyramids
Keywords :
data compression; electronic commerce; image coding; difference pyramid; e-commerce; inverse pyramidal decomposition; low resolution components; minimum mean square error; multilayer image compression algorithm; oriented surfaces; pyramidal image decomposition; Business; Computer science; Image coding; Image processing; Image quality; Image restoration; Laboratories; Military computing; USA Councils; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 2001 IEEE International Conference on
Conference_Location :
Tucson, AZ
ISSN :
1062-922X
Print_ISBN :
0-7803-7087-2
Type :
conf
DOI :
10.1109/ICSMC.2001.972945
Filename :
972945
Link To Document :
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