| Project/Area Number |
24500217
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | Kanagawa University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
KOMATSU Takashi 神奈川大学, 工学部, 助手 (80241115)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2014: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2013: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2012: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
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| Keywords | 画像復元 / 雑音除去 / 疎表現 / 冗長変換 / Color-Shrinkage / 画像の疎表現 / 3次元DCT / ポアソンランダム画像 / 画像の素表現 / カラーシリンケージ / 画像の冗長表現 |
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| Outline of Final Research Achievements |
The research representatives previously have developed "Various hybrid frame methods" and "Various Color Shrinkage methods" for the image restoration. In this research, based on a current result, we worked on the research topics described as follows. 1. The image restoration method that we had developed up to now was formulated with a mathematical frame. Moreover, we developed the technique for achieving the optimum construction. 2. We developed the best composition technique to remove various obstructions caused by processing in the camera collectively. 3. The problem of restoring the color image of the high-resolution from the deterioration observation data that had been obtained by taking a picture by the dark was formulated as a color image sparse representation problem. Moreover, we did a basic examination of the best composition method.
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