  The acquisition of high-resolution retinal fundus images with a large field
of view (FOV) is challenging due to technological, physiological and economic
reasons. This paper proposes a fully automatic framework to reconstruct retinal
images of high spatial resolution and increased FOV from multiple
low-resolution images captured with non-mydriatic, mobile and video-capable but
low-cost cameras. Within the scope of one examination, we scan different
regions on the retina by exploiting eye motion conducted by a patient guidance.
Appropriate views for our mosaicing method are selected based on optic disk
tracking to trace eye movements. For each view, one super-resolved image is
reconstructed by fusion of multiple video frames. Finally, all super-resolved
views are registered to a common reference using a novel polynomial
registration scheme and combined by means of image mosaicing. We evaluated our
framework for a mobile and low-cost video fundus camera. In our experiments, we
reconstructed retinal images of up to 30{\deg} FOV from 10 complementary views
of 15{\deg} FOV. An evaluation of the mosaics by human experts as well as a
quantitative comparison to conventional color fundus images encourage the
clinical usability of our framework.
