Presentation | 1999/2/3 A Note on High Accuracy Quantization of IFS Parameters Using Genetic Algorithm Megumi Takezawa, Hiroyuki Honda, Miki Haseyama, Hideo Kitajima, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper proposes a method to quantize IFS parameters accurately. The conventional method quantizes them to the nearest values. However the method does not necessarily provide high-quality reconstructed images. Therefore, a new quantization method searches for the optimal IFS-parameter set by using a genetic algorithm to obtain the high-quality ones. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | fractal image coding / genetic algorithm / quantization |
Paper # | EID98-176 |
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Committee | EID |
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Conference Date | 1999/2/3(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Electronic Information Displays (EID) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Note on High Accuracy Quantization of IFS Parameters Using Genetic Algorithm |
Sub Title (in English) | |
Keyword(1) | fractal image coding |
Keyword(2) | genetic algorithm |
Keyword(3) | quantization |
1st Author's Name | Megumi Takezawa |
1st Author's Affiliation | Faculty of Engineering, Hokkaido University() |
2nd Author's Name | Hiroyuki Honda |
2nd Author's Affiliation | Graduate School of Engineering, Hokkaido University |
3rd Author's Name | Miki Haseyama |
3rd Author's Affiliation | Graduate School of Engineering, Hokkaido University |
4th Author's Name | Hideo Kitajima |
4th Author's Affiliation | Graduate School of Engineering, Hokkaido University |
Date | 1999/2/3 |
Paper # | EID98-176 |
Volume (vol) | vol.98 |
Number (no) | 574 |
Page | pp.pp.- |
#Pages | 6 |
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