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fractal image coding using projection-based classification and variable shape matching

JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS 1998年第5期21卷 507-520页

作者： Chao, HC Chieu, BC Natl Taiwan Univ Sci & Technol Dept Elect Engn Taipei 106 Taiwan

In this paper, a fractal image compression system based on adaptive variable shape block transform is proposed. The procedure can be divided into approximately two basic phases: the classification phase and the adaptive shape block phase. In the classification phase, a testing image block is assigned to its own class according to its direction attribute. The direction of the block is estimated by employing the technique of projection/backprojection which is a tomographic image reconstruction skill. Due to computational complexity, only four projection directions are resolved to construct the projection classification algorithm (PCA). Computer simulations show that the proposed classification method outperforms the gradient classification algorithm. In the adaptive shape block phase, PCA and the algorithm of split/merge are incorporated to form the variable shape block transformation. For the range blocks and domain blocks, we define fifteen merging patterns and ten shape components in the searching algorithm. Under this fractal coding approach, a better trade-off between the decoded image quality and transmitting bit rate is performed. Several examples are presented to show the effectiveness of this coding system.

关键词： fractal image coding variable shape block fractal coding computerized tomographic image reconstruction projection classification algorithm

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