Development of color moving image restoration method based on sparse coding theory for high-quality imaging under low illumination.
| Project/Area Number |
15K00250
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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 |
Perceptual information processing
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| Research Institution | Kanagawa University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
小松 隆 神奈川大学, 工学部, 助手 (80241115)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
Fiscal Year 2017: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2015: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
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| Keywords | 疎表現 / 画素ビニング / 仮想多重撮像 / 3次元DCT / ポアソンーガウス雑音 / 低照度 / 3次元ST-DFT / 3次元DFT / Short-Time DFT / 平均値分離 / 動画像復元 / ポアソン分布 / ガウス分布 / 信号依存性雑音 / ３次元冗長ＤＣＴ / 分散安定化 / 三次元冗長DCT / Color Shrinkage / 分散安定化逆変換 |
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| Outline of Final Research Achievements |
Like a surveillance camera image at nighttime, the signal value observed under an extremely dark situation, it is necessary to introduce some techniques for improving the statistical reliability to the process of the restoration. We examined the restoration method composed of three processing. That is, virtual multiplex imaging which is composed by pixel binning and redundant subsampling, moving image denoising using 3-dimentional DCT and super-resolution deblurring.
While accomplishing the research, we found that 3-dimentional ST-DFT can represent moving image more sparsely than 3-dimentional DCT.
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Report
(4 results)
Research Products
(24 results)
