DocumentCode
1645865
Title
Clustering context properties of wavelet coefficients in automatic modelling and image coding
Author
Lehtinen, Joonas ; Kivijärvi, Juha
Author_Institution
Turku Cente for Comput. Sci., Finland
fYear
2001
Firstpage
151
Lastpage
155
Abstract
An algorithm for automatic modelling of wavelet coefficients from context properties is presented. The algorithm is used to implement an image coder, in order to demonstrate its image coding efficiency. The modelling of wavelet co-efficients is performed by partitioning the weighted context property space to regions. Each of the regions has a dynamic probability distribution stating the predictions of the modeled co-efficients. The coding performance of the algorithm is compared to other efficient wavelet-based image compression methods
Keywords
image coding; image segmentation; pattern clustering; probability; wavelet transforms; automatic modelling; clustering; dynamic probability distribution; image coder; image coding; performance; regions; wavelet coefficients; weighted context property space; Clustering algorithms; Context modeling; Continuous wavelet transforms; Entropy coding; Image coding; Partitioning algorithms; Probability distribution; Quantization; Wavelet coefficients; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Analysis and Processing, 2001. Proceedings. 11th International Conference on
Conference_Location
Palermo
Print_ISBN
0-7695-1183-X
Type
conf
DOI
10.1109/ICIAP.2001.957000
Filename
957000
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