  The optical resolution of a digital camera is one of its most crucial
parameters with broad relevance for consumer electronics, surveillance systems,
remote sensing, or medical imaging. However, resolution is physically limited
by the optics and sensor characteristics. In addition, practical and economic
reasons often stipulate the use of out-dated or low-cost hardware.
Super-resolution is a class of retrospective techniques that aims at
high-resolution imagery by means of software. Multi-frame algorithms approach
this task by fusing multiple low-resolution frames to reconstruct
high-resolution images. This work covers novel super-resolution methods along
with new applications in medical imaging.
