1. A method of image super-resolution comprising: exposing, at a predetermined frame rate, a digital imaging sensor to generate a plurality of low resolution frames; aligning the plurality of low resolution frames; forming an enlarged image by combining the low resolution frames; and filtering the enlarged image with a nonlinear filter that includes a neural network that inputs modified digitized pixel data that is normalized and based on subtraction of a low-frequency component from element-wise grouped pixels and generates a filtered output that is a sum of the low-frequency component and an inversely normalized output of the neural network to achieve resolution enhancement.