L. Jie, F. Ping, L. Jinguo. Fractal Image Compression Coding Based on Classification and Clustering. Journal of Computer Aided Design and Computer Graphics (in Chinese), 14(4):348-350, 2002.
To reduce the computation time of fractal image coding, an approach based on classification and clustering is proposed. The image blocks are classified into different categories according to the fractal dimensions of image blocks, and the same category is then further divided into several clusters. Matching is done with the conventional fractal codign (PIFS), the coding speed and compression ratio is increased significantly while the signal to noise ratio of it and the decoding image quality is acceptable
Download paper:
Adobe PDF
Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.
@article{JiPiJi02,
Author = {Jie, L. and Ping, F. and Jinguo, L.},
Title = {Fractal Image Compression Coding Based on Classification and Clustering},
Journal = {Journal of Computer Aided Design and Computer Graphics (in Chinese)},
Volume = {14},
Number = {4},
Pages = {348--350},
Publisher = {Science Press},
Address = {L. Jie is with Chanchun Univ, F. Ping is with Jilin Univ, L. Jinguo is with Changchun Instite of Optics Fine Mechanics and Physics - Chinese Academy of Sciences},
Year = {2002}
}
The paper is written in Chinese, abstract in English available