Presentation | 2005-02-04 A Note on Quality Estimation of Reconstructed Images by Fractal Image Coding Megumi TAKEZAWA, Hirofumi SANADA, Kazuhisa WATANABE, Miki HASEYAMA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Fractal image coding based on an iterated function system is one of the coding techniques for digital images. It compresses images by utilizing their self-similarity. Hence, it is conceivable that the self-similarity is closely related to the image quality obtained by the fractal image coding. However, the relations have not been clarified so far. Therefore, in this paper, we clarify the relations of these two factors, the image quality and the self-similarity, based on some simulations. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | fractal image coding / self similarity / image quality |
Paper # | ITS2004-76,IE2004-210 |
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Committee | IE |
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Conference Date | 2005/1/28(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Image Engineering (IE) |
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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 Quality Estimation of Reconstructed Images by Fractal Image Coding |
Sub Title (in English) | |
Keyword(1) | fractal image coding |
Keyword(2) | self similarity |
Keyword(3) | image quality |
1st Author's Name | Megumi TAKEZAWA |
1st Author's Affiliation | Department of Information Network Engineering, Hokkaido Institute of Technology() |
2nd Author's Name | Hirofumi SANADA |
2nd Author's Affiliation | Department of Information Network Engineering, Hokkaido Institute of Technology |
3rd Author's Name | Kazuhisa WATANABE |
3rd Author's Affiliation | Department of Information Network Engineering, Hokkaido Institute of Technology |
4th Author's Name | Miki HASEYAMA |
4th Author's Affiliation | Graduate School of Information Science and Technology, Hokkaido University |
Date | 2005-02-04 |
Paper # | ITS2004-76,IE2004-210 |
Volume (vol) | vol.104 |
Number (no) | 649 |
Page | pp.pp.- |
#Pages | 6 |
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