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Establishment of Restricted-color Image Enlargement Algorithm Based on Complementary Simultaneous Optimization Theory
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- ASO Takashi
- Principal Investigator
- 九州情報大学
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- CHA Byungki
- Co-Investigator
- 九州情報大学
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- TAMUKOH Hakaru
- Co-Investigator
- 九州工業大学
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- KUBOTA Ryosuke
- Co-Investigator
- 宇部工業高等専門学校
About This Project
- Japan Grant Number
- JP25540111 (JGN)
- Funding Program
- Grants-in-Aid for Scientific Research
- Funding Organization
- Japan Society for the Promotion of Science
Kakenhi Information
- Project/Area Number
- 25540111
- Research Category
- Grant-in-Aid for Challenging Exploratory Research
- Allocation Type
-
- Multi-year Fund
- Review Section / Research Field
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- Integrated Disciplines > Informatics > Human informatics > Soft computing
- Research Institution
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- Kyushu Institute of Information Sciences
- Project Period (FY)
- 2013-04-01 〜 2016-03-31
- Project Status
- Completed
- Budget Amount*help
- 3,770,000 Yen (Direct Cost: 2,900,000 Yen Indirect Cost: 870,000 Yen)
Research Abstract
The purpose of this research is to establish a color palette automatic generation algorithm that is superior in terms of preserving of minority colors and suppressing of pseudo edges. The proposed method employs a vector error diffusion method and a particle swarm optimization, and it is applied to test images. As a result with the quantitative and qualitative evaluations of image quality, it was confirmed that a selection of the minority colors with high importance on a priority basis could generate the restricted-color image with natural impression.
Keywords
Details 詳細情報について
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- CRID
- 1040282257240925184
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- Text Lang
- ja
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- Data Source
-
- KAKEN
