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