Sparsity-based ultrasound super-resolution imaging

An apparatus (20) for imaging includes an input interface (54) and a processor (50). The input interface receives a sequence of input images of a target. Each input image includes a grid of pixels representing reflections of a transmitted signal from reflectors or scatterers in the target. A resolution of the input images is degraded by a measurement process of capturing the input images in the sequence. The processor derives, from the sequence of input images, an aggregated image in which each pixel comprises a statistical moment calculated over corresponding pixels of the input images, and converts the aggregated image into a super- resolution image of the target, having a higher resolution than the input images, by applying to the aggregated image a recovery function, which outputs the super-resolution image as a solution to the recovery function, provided that the reflectors or scatterers are sparse or compressible in a predefined transform domain.