A super-resolution scheme frame based on linear restoration of residual errors is proposed in this paper

which combines an existing image interpolation algorithm with an artificial neural network(ANN) modeling the residual errors between the interpolated image and the real high-resolution image. Mathematical proof is presented that the performance of our method is better than existing interpolation algorithms. Theoretically

any intra-frame interpolation algorithm can be combined into our scheme to improve its performance. Example applications and their results demonstrate the effectiveness of our approach compared with traditional methods.