Super-Resolution on Moving Objects and Background

Unlike most super-resolution (SR) methods described in literature, which perform only SR reconstruction on the background of an image scene, we propose a framework that performs SR reconstruction simultaneously on the background and on moving objects. After registration of the background, moving objects are detected and to each moving object registration is applied. The fusion and deblurring tasks of the framework are performed by the well-known method of Hardie. To evaluate the performance of the framework the triangle orientation discrimination (TOD) method is used. The TOD method quantitatively measures the SR performance on the image background and on moving objects. From experiments it can be concluded that under proper conditions, the SR performance on moving objects is similar as the SR performance on the background.