1. A method of creating a super-resolved grayscale image from a plurality of lower-resolution images, the method comprising: a. providing a computer for manipulating data; b. providing at least two low-resolution images, wherein said low-resolution image comprises low-resolution data; c. using a data fidelity penalty term in said manipulation, wherein said data fidelity penalty term is an L 1 norm penalty term to enforce similarities between said low-resolution data and a high-resolution image estimate; and d. using a spatial penalty term, wherein said spatial penalty term is a penalty term to encourage sharp edges in said high-resolution image; whereby said super-resolved grayscale image is provided.