Establishment of Restricted-color Image Enlargement Algorithm Based on Complementary Simultaneous Optimization Theory

2015 Fiscal Year Final Research Report

• 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
• 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.

Free Research Field

情報学