All research areas
Research
Image Processing
Signal recovery and enhancement where the pixels are the evidence.
Before a model sees an image, something has to make that image worth seeing. We work on the acquisition and restoration end: noise, artefacts, calibration, and the pre-processing that decides whether downstream vision succeeds.
What this looks like in practice
- Denoising, restoration, and super-resolution
- Segmentation and morphological analysis
- Medical and scientific imaging pipelines
- Registration and geometric correction
- Quantitative measurement from imagery