Presentation 2012-04-19
コントラストの高い白黒二値画像に対するフラクタル符号の重みについて
Yoshinori KITANO, Tetsushi UETA, Yoshifumi NISHIO, Guoan YANG, Yang YANG,
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Abstract(in English) Fractal image coding uses geometrical self-similarity properties in the given image and it shows a high compression ratio. There are many research results on gray-scale or color natural images with this coding system, in this paper we specify that there is a trouble with black/white images because of the scaling factor value of the affine mapping for pixel values. To overcome this problem, we examine the scaling factors versus S/N ratio for various black and white images, and investigate the scaling factor values distribution resulting the maximum S/N ratio. With these values, the decoded image looks very natural.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) fractal image coding / black/white image
Paper # NLP2012-4
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Conference Information
Committee NLP
Conference Date 2012/4/12(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English)
Sub Title (in English)
Keyword(1) fractal image coding
Keyword(2) black/white image
1st Author's Name Yoshinori KITANO
1st Author's Affiliation University of Tokushima()
2nd Author's Name Tetsushi UETA
2nd Author's Affiliation University of Tokushima
3rd Author's Name Yoshifumi NISHIO
3rd Author's Affiliation University of Tokushima
4th Author's Name Guoan YANG
4th Author's Affiliation Xi'an Jiaotong University
5th Author's Name Yang YANG
5th Author's Affiliation Xi'an Jiaotong University
Date 2012-04-19
Paper # NLP2012-4
Volume (vol) vol.112
Number (no) 6
Page pp.pp.-
#Pages 6
Date of Issue