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Adaptive fractal image sequence coding by variable shape decomposition

JOURNAL OF MATHEMATICAL IMAGING AND VISION 1999年第3期10卷 269-279页

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

A two-phase fractal image sequence compression system is proposed. In the classification phase, according to the texture attribution a testing solid image block is assigned to its corresponding texture class. The texture attribution is derived from the tomographic block projection classification for the finite projection directions at the three-dimensional (3D) space. In the adaptive coding phase, both the algorithm of the 3D projection classification and the 3D variable shape decomposition are incorporated into the variable shape block transformation for image sequence. By applying this variable shape block transformation algorithm to fractal image sequence coding scheme, we can obtain a promising performance.

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

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

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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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