Video-to-video dynamic super-resolution for grayscale and color sequences

We address the dynamic super-resolution (SR) problem ofreconstructing a high-quality set of monochromatic or colorsuper-resolved images from low-quality monochromatic, color, ormosaiced frames. Our approach includes a joint method forsimultaneous SR, deblurring, and demosaicing, this way taking intoaccount practical color measurements encountered in videosequences. For the case of translational motion and commonspace-invariant blur, the proposed method is based on a very fastand memory efficient approximation of the Kalman filter (KF).Experimental results on both simulated and real data are supplied,demonstrating the presented algorithms, and their strength.

Duke Scholars

Author Sina Farsiu Biomedical Engineering