1. A method of image resolution enhancement, comprising: buffering a sequence of low-resolution (LR) images having M×N resolution; constructing the H and H T deconvolution kernels from a model of the imaging system that captured the LR images; measuring image motion for each LR image; using the measured image motion to calculate a maximum enhancement factor r that guarantees each bin in a high-resolution (HR) image having max r*M×max r*N resolution will have at least one corresponding LR intensity value; constructing a maximum likelihood estimator (MLE) that estimates an HR image from the sequence of LR images with an enhancement factor r less than or equal to max r without a regularization term based on deconvolution kernels H and H T and the measured image motion; initializing the ML estimator to provide an initial HR image; and iteratively applying the ML Estimator to the initial HR image and sequence of LR images to generate an HR image having rM×rN resolution.