2014 Fiscal Year Final Research Report
Development of new image restoration method based on color image sparse representation theory for high quality and high performance imaging
| 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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| Keywords | 画像復元 / 雑音除去 / 疎表現 / 冗長変換 / Color-Shrinkage |
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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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| Free Research Field |
総合領域
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