Superresolution image processing using an invertible sparse matrix

A non-transitory machine-readable medium, having encoded thereon program code, wherein, when the program code is executed by a machine, the machine implements a method of image processing, the method comprising:

• (A) applying superresolution processing to a first image frame having a first spatial resolution to generate a second image frame having a second spatial resolution that is higher than the first spatial resolution, wherein step (A) comprises:
• (A1) generating a sparse matrix based on a Markov random field defined over the first image frame and a third image frame having a third spatial resolution that is higher than the first spatial resolution;
• (A2) generating an inverse matrix by inverting the sparse matrix;
• and
• (A3) generating the second image frame using the inverse matrix, wherein:
• the first image frame covers a first scene;
• and
• each of the second and third image frames covers the first scene.

An apparatus comprising:

• a memory configured to store (i) a first image frame covering a first scene, said first image frame having a first spatial resolution, and (ii) a second image frame covering the first scene, said second image frame having a second spatial resolution that is higher than the first spatial resolution;
• and
• a processor configured to apply superresolution processing to the first image frame to generate a third image frame covering the first scene, said third image frame having a third spatial resolution that is higher than the first spatial resolution, wherein the processor is further configured to:
• generate a sparse matrix based on a Markov random field defined over the first image frame and the second image frame;
• generate an inverse matrix by inverting the sparse matrix;
• and
• generate the third image frame using the inverse matrix.