The invention discloses a nonuniform sparse sampling video super resolution method, which belongs to the technical field of video super resolution. The method comprises key technologies such as shot detection,
key frame extraction, original image fuzzy
processing and down sampling, nonuniform sampling vision
model building, sparse dictionary construction, and
video reconstruction. A nonuniform sparse sampling method based on foveated vision is adopted, differential sparse sampling is carried out on a
video sequence, the number of atoms is greatly reduced, a dual dictionary of high and low resolutions (high and
low resolution reference copy) is generated in real time or calculated in a prior mode according to the resolution of a mobile terminal device screen as carried meta data, a hardware-supported nonlinear
Mipmap interpolation method is used for simulating and generating a Foveation image in real time, a result similar to that in a Gauss
pyramid method can be acquired, and the computation overhead is lower.