| Proj No. | A3006-251 |
| Title | CNN based Image Denoising |
| Summary | This project proposes to study the performance of convolutional neural network to denoise noisy images (due to camera/sensor noise) that has been trained on clean image database without any noise. Degradation in performance against the type and amount of noise 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?: |