| Project/Area Number |
25820158
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Communication/Network engineering
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| Research Institution | Nagoya Institute of Technology |
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Principal Investigator |
GOTO TOMIO 名古屋工業大学, 工学(系)研究科(研究院), 助教 (20324478)
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2015: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2013: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | 超解像 / 画像拡大 / 画像再構成 / 再構成画像 / 超解像処理の画質改善 / 超解像処理の高速化 / ＴＶ正則化法による超解像画像の画質改善 / 事例学習法の性能改善 / ＧＰＧＰＵサーバへの超解像システムの実装 |
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| Outline of Final Research Achievements |
From 2013 to 2015, we have been studied for super-resolution image reconstruction, which utilizes the Total Variation Image Reconstuction, the Shock filter and the Edge Enhancement filter. By using the TV regularization, input images are devided into a structure component, which consists of edge components and low frequency components, and a texture component, which consists of high frequency components. The structure and texture components magnified by utilizing the Shock filter and the Edge Enhancement filter, respectively, we have achieved high-quality super-resolution image reconstruction, and image quality have been drastically improved.
And we gave some presentations in ten domestic and ten international societies.
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