| Project/Area Number |
23KJ0465
|
|---|
| Research Category |
Grant-in-Aid for JSPS Fellows
|
| Allocation Type | Multi-year Fund |
|---|
| Section | 国内 |
|---|
| Review Section |
Basic Section 61010:Perceptual information processing-related
|
|---|
| Research Institution | The University of Tokyo |
|---|
Principal Investigator |
鍾 志航 東京大学, 情報理工学系研究科, 特別研究員(DC2)
|
|---|
| Project Period (FY) |
2023-04-25 – 2025-03-31
|
| Project Status |
Granted (Fiscal Year 2023)
|
| Budget Amount *help |
¥1,800,000 (Direct Cost: ¥1,800,000)
Fiscal Year 2024: ¥900,000 (Direct Cost: ¥900,000)
Fiscal Year 2023: ¥900,000 (Direct Cost: ¥900,000)
|
|---|
| Outline of Research at the Start |
This research aims to fix motion artifacts such as motion blur and rolling shutter distortion in images using advanced deep learning techniques. We'll create better datasets and use hidden info in images to even generate videos. This will enhance camera performance and create unique visual effects.
|
