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
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;
Conference_Titel :
Image Analysis and Processing, 2001. Proceedings. 11th International Conference on
Conference_Location :
Palermo
Print_ISBN :
0-7695-1183-X
DOI :
10.1109/ICIAP.2001.957000