Project/Area Number |
25540111
|
Research Category |
Grant-in-Aid for Challenging Exploratory Research
|
Allocation Type | Multi-year Fund |
Research Field |
Soft computing
|
Research Institution | Kyushu Institute of Information Sciences |
Principal Investigator |
ASO Takashi 九州情報大学, 経営情報学部, 教授 (20259683)
|
Co-Investigator(Kenkyū-buntansha) |
CHA Byungki 九州情報大学, 経営情報学部, 教授 (10310004)
TAMUKOH Hakaru 九州工業大学, 大学院生命体工学研究科, 准教授 (90432955)
KUBOTA Ryosuke 宇部工業高等専門学校, 制御情報工学科, 准教授 (50432745)
|
Project Period (FY) |
2013-04-01 – 2016-03-31
|
Project Status |
Completed (Fiscal Year 2015)
|
Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
|
Keywords | ソフトコンピューティング / ファジィ推論 / 画像拡大 / 色量子化 / 限定色画像 |
Outline of Final Research Achievements |
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.
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