| Proj No. | A3009-251 |
| Title | CNN based Image Deblurring |
| Summary | This project proposes to study the performance of convolutional neural network to deblur blurred images (due to camera condition during image acquisition, such as motion blur or defocus blur) that has been trained on clean image database without blurring. Degradation in performance against the type and amount of blurring will be investigated. This project is software based, and may use python (or any other platform) with suitable library. The project may involve sub-tasks such as image database creation and image pre-processing. |
| Supervisor | A/P Anamitra Makur (Loc:S1 > S1 B1C > S1 B1C 103, Ext: +65 67904013) |
| Co-Supervisor | - |
| RI Co-Supervisor | - |
| Lab | Machine Learning and Data Analytics Lab (Loc: S2.1, B4-01) |
| Single/Group: | Single |
| Area: | Digital Media Processing and Computer Engineering |
| ISP/RI/SMP/SCP?: |