Presentation 2002/1/23
A High-Accuracy Fractal Image Coding : A Note on a Decision Method for IFS Parameters
Megumi TAKEZAWA, Miki HASEYAMA, Hideo KITAJIMA,
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Abstract(in English) In the fractal image coding, it is significant to determine a suitable contractive mapping, because the mapping has a serious influence on reconstructed images. The traditional fractal image coding methods determine it by minimizing the error (collage error) between an original image and an image obtained by once applying the mapping to the original. Therefore, minimizing the collage error dose not correspond to minimizing the error between the original image and the reconstructed image, that is the image obtained by decoding in the fractal image coding. Hence, in order to obtain the high-accuracy reconstructed image, we propose a new criterion-based method by using GA and SA to determine suitable IFS parameters that represent the best contractive mapping. The proposed method always provide better reconstructed images than the other conventional methods.
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Keyword(in English) fractal image coding / contractive mapping / genetic algorithm / simulated annealing
Paper # ITS2001-74, IE2001-213
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Committee ITS
Conference Date 2002/1/23(1days)
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Registration To Intelligent Transport Systems Technology (ITS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A High-Accuracy Fractal Image Coding : A Note on a Decision Method for IFS Parameters
Sub Title (in English)
Keyword(1) fractal image coding
Keyword(2) contractive mapping
Keyword(3) genetic algorithm
Keyword(4) simulated annealing
1st Author's Name Megumi TAKEZAWA
1st Author's Affiliation Graduate School of Engineering, Hokkaido University()
2nd Author's Name Miki HASEYAMA
2nd Author's Affiliation Graduate School of Engineering, Hokkaido University
3rd Author's Name Hideo KITAJIMA
3rd Author's Affiliation Graduate School of Engineering, Hokkaido University
Date 2002/1/23
Paper # ITS2001-74, IE2001-213
Volume (vol) vol.101
Number (no) 625
Page pp.pp.-
#Pages 6
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