Dynamic reconstruction of high-resolution video from...

Image analysis – Image enhancement or restoration

Reexamination Certificate

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Details

C382S167000, C382S169000, C382S299000

Reexamination Certificate

active

11584400

ABSTRACT:
A method is provided of solving the dynamic super-resolution (SR) problem of reconstructing a high-quality set of monochromatic or color superresolved images from low-quality monochromatic, color, or mosaiced frames. The invention includes a joint method for simultaneous SR, deblurring, and demosaicing, this way taking into account practical color measurements encountered in video sequences. For the case of translational motion and common space-invariant blur, the proposed invention is based on a very fast and memory efficient approximation of the Kalman filter (KF). Experimental results on both simulated and real data are supplied, demonstrating the invention algorithms, and their strength.

REFERENCES:
patent: 5995457 (1999-11-01), Jamail
patent: 6381179 (2002-04-01), Derhacobian et al.
patent: 6542925 (2003-04-01), Brown et al.
patent: 6640145 (2003-10-01), Hoffberg et al.
patent: 6847391 (2005-01-01), Kassatly
Elad, Michael and Hel-Or, Yacov “A Fast Super-Resolution Reconstruction Algorithm for Pure Translational Motion and Common Space-Invariant Blur” (2001) IEEE Transactions on Image Processing vol. 10 No. 8 pp. 1187-1193.
Elad, Michael and Feuer, Arie “Superresolution Restoration of an Image Sequence: Adaptive Filtering Approach” (1999) IEEE Transactions on Image Processing vol. 8 No. 3 pp. 387-395.
Elad, Michael and Feuer, Arie “Super-Resolution Reconstruction of Image Sequences” (1999) IEEE Transactions on Patter Analysis and Machine Intelligence vol. 21 No. 9 pp. 817-834.

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