Imaging sensors have physical limitations in spatial resolution, spectral resolution and dynamic range. Super-resolution
(SR) image processing technology is to overcome these physical limitations. For decades, numerous researches have
been conducted from theoretical points of view, and a variety of high-performance SR algorithms have been proposed.
However, there is little work on the implementation of real-world SR imaging system. We have implemented two types
of SR imaging systems. First, 9-eye system designed as a prototype is presented, and then 6-eye big system following the
prototype is announced and demonstrated. The proposed SR algorithms and a few conventional SR algorithms are
applied to both of the SR imaging systems. Problems and further study in SR imaging systems are constructed and
discussed through experimental results.