DocumentCode
2033981
Title
Marginal analysis prioritization for image compression based on a hierarchical wavelet decomposition
Author
Xiong, Z. ; Galatsanos, N.P. ; Orchard, M.T.
Author_Institution
Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA
Volume
5
fYear
1993
fDate
27-30 April 1993
Firstpage
546
Abstract
A novel approach for jointly optimizing scalar quantization and tree-based quantization of hierarchical wavelet decompositions is presented. An image compression algorithm is developed around this approach, utilizing a pruned-tree image representation. Marginal analysis is applied to optimize jointly the pruned-tree representation and scalar quantization. Simulation results demonstrate that the proposed algorithm offer substantially improved signal-to-noise ratio at matching bit rates, compared with similarly structured compression algorithms.<>
Keywords
data compression; hierarchical systems; image coding; optimisation; tree data structures; wavelet transforms; algorithm; hierarchical wavelet decomposition; image compression; marginal analysis; pruned-tree image representation; scalar quantization; signal-to-noise ratio; tree-based quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location
Minneapolis, MN, USA
ISSN
1520-6149
Print_ISBN
0-7803-7402-9
Type
conf
DOI
10.1109/ICASSP.1993.319869
Filename
319869
Link To Document