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.