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Fractal image encoding based on adaptive search
作者姓名:Kya  Berthe
作者单位:Information Engineering
摘    要:Finding the optimal algorithm between an efficient encoding process and the rate distortion is the main research in fractal image compression theory. A new method has been proposed based on the optimization of the Least-Square Error and the orthogonal projection. A large number of domain blocks can be eliminated in order to speed-up fractal image compression. Moreover, since the rate-distortion performance of most fractal image coders is not satisfactory, an efficient bit allocation algorithm to improve the rate distortion is also proposed. The implementation and comparison have been done with the feature extraction method to prove the efficiency of the proposed method.


Fractal image encoding based on adaptive search
Kya Berthe.Fractal image encoding based on adaptive search[J].Journal of University of Science and Technology Beijing,2003,10(6).
Authors:Kya Berthe  Yang Yang  Huifang Bi
Abstract:Finding the optimal algorithm between an efficient encoding process and the rate distortion is the main research in fractal image compression theory. A new method has been proposed based on the optimization of the Least-Square Error and the orthogonal projection. A large number of domain blocks can be eliminated in order to speed-up fractal image compression. Moreover, since the rate-distortion performance of most fractal image coders is not satisfactory, an efficient bit allocation algorithm to improve the rate distortion is also proposed. The implementation and comparison have been done with the feature extraction method to prove the efficiency of the proposed method.
Keywords:fractal optimization  bit allocation  adaptive search  image compression
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