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

Published

Journal Article

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.

Full Text

Duke Authors

Cited Authors

  • Farsiu, S; Elad, M; Milanfar, P

Published Date

  • April 19, 2006

Published In

Volume / Issue

  • 2006 /

International Standard Serial Number (ISSN)

  • 1110-8657

Digital Object Identifier (DOI)

  • 10.1155/ASP/2006/61859

Citation Source

  • Scopus