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 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.
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Keyword(in English) fractal image coding / self similarity / image quality
Paper # ITS2004-76,IE2004-210
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Committee ITS
Conference Date 2005/1/28(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 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) 647
Page pp.pp.-
#Pages 6
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