Overview
Short introduction movies
1) a short introduction to image restoration
2) a short introduction to image and video quality assessment
3) a short introduction to automated analysis of biomedical images
4) a short introduction to Image processing in 3D electron microscopy
Research results
1) a short overview of results related to human behavior analysis
2) a short overview of results related to biomedical image analysis
3) a short overview of results related to computational efficient implementation, e.g. using the graphics card
When used in parallel with the central processing unit (CPU), graphics processing units (GPUs) can improve computation speed by up to 100 times—but this is rarely done because GPUs are notoriously hard to program. The new Quasar language changes that. Created by iMinds researchers at Ghent University (IPI), Quasar opens up whole new possibilities for faster GPU programming and processing in medical imaging reconstruction, video processing and more.
In one test, experts using CUDA/C++ took three months to implement an MRI reconstruction algorithm; a developer using Quasar for the very first time achieved the same numerical results at the same computational performance in just three days.
4) a short overview of image and video quality assessment
Thesis topics @IPI
