Presentation 2003/1/28
A Determination Method for IPS Parameters in Fractal Image Coding : Reduction in Computational Costs
Megumi TAKEZAWA, Miki HASEYAMA, Hideo KITAJIMA,
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Abstract(in English) In fractal image coding, it is actually impossible to find the optimal IFS parameters, which provide the highest quality reconstructed image, by minimizing the error in the reconstructed image because of heavy computation. Hence, most of the fractal image coding determines the suitable IFS parameters by minimizing the error in the collage image instead of the reconstructed image in short time. However, these obtained IFS parameters do not necessarily provide a high-quality reconstructed image whose error is small. Therefore, in order to obtain the high-quality reconstructed image, we have before proposed a fractal image coding method which can find the optimal IFS parameters in low computational costs by using a genetic algorithm and simulated annealing. In this paper, to achieve further reduction in its computational costs, our previous method is improved by adopting a new procedure.
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Keyword(in English) fractal image coding / IFS parameters / calculation time
Paper # ITS2002-108,IE2002-249
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Conference Date 2003/1/28(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Determination Method for IPS Parameters in Fractal Image Coding : Reduction in Computational Costs
Sub Title (in English)
Keyword(1) fractal image coding
Keyword(2) IFS parameters
Keyword(3) calculation time
1st Author's Name Megumi TAKEZAWA
1st Author's Affiliation School of Engineering, Hokkaido University()
2nd Author's Name Miki HASEYAMA
2nd Author's Affiliation School of Engineering, Hokkaido University
3rd Author's Name Hideo KITAJIMA
3rd Author's Affiliation School of Engineering, Hokkaido University
Date 2003/1/28
Paper # ITS2002-108,IE2002-249
Volume (vol) vol.102
Number (no) 632
Page pp.pp.-
#Pages 6
Date of Issue