A new method of images super-resolution restoration by neural networks
Liming Zhang, Fengzhi Pan · 2002
Super-resolution restoration from the tow-resolution image is an ill-posed problem if there's no assumption. This paper proposes a new super-resolution scheme based on combining neural network with classical interpolation algorithm. It is shown that our method has better performance than existing interpolation algorithms on theory and also better simulation results than conventional and other neural network methods.