Super-resolution (SR) is a class of techniques that enhance the resolution of an imaging system by combining complimentary information from several images to produce high resolution images of a subject. Fast non-iterative and iterative algorithms are described in this article. The metrics to compare the images are investigated also. In conclusion shows the comparative results of these methods. Test results showed good practical applicability of the developed algorithms.
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