Moving image restoration and registration

A new method for moving image restoration and registration is established where the observations are sequences of low-resolution, possibly undersampled, discrete frames and the result is a restored high-resolution image.

Abstract

A new method for moving image restoration and registration is established. The observations are sequences of low-resolution, possibly undersampled, discrete frames. The result is a restored high-resolution image. The restoration part is attractive for the purpose of real time implementation since the computation consists of only a few complex operations per pel of the resultant high resolution image. Tests on a class of waveforms with different bandwidths show that the performance is superior to that of the cubic spline technique in terms of the signal to noise ratio. The registration part has two new features: 1) The relative shifts of several frames can be estimated in one process. 2) The estimate is accruate even if the observation frames are severely undersampled, so long as the number of frames available is big enough.