Ph.D XXXVII

Supervisor: Niki Martinel

Phone: +39 0432 558423

Room: Lab AVIRES

Mail: khan.asifhussain@spes.uniud.it

Research Project

Deep Video Super-Resolution

Image Super-resolution (SR) is the process of recovering high-resolution (HR) images from low-resolution (LR). Image processing algorithms in this class have a variety of real-world applications in areas such as medical imaging, satellite imaging, surveillance and security, and astronomical imaging. Deep learning-based SR models have been extensively studied in recent years, and often attain state-of-the-art performance on many SR benchmarks. Deep learning methods have been used to address SR tasks, ranging from the early Convolutional Neural Networks (CNN) based method to newer promising Generative Adversarial Nets (GAN) based SR approaches.