Image analysis – Image transformation or preprocessing – Changing the image coordinates
Reexamination Certificate
2011-07-05
2011-07-05
Couso, Yon (Department: 2624)
Image analysis
Image transformation or preprocessing
Changing the image coordinates
Reexamination Certificate
active
07974498
ABSTRACT:
A super-resolution algorithm that explicitly and exactly models the detector pixel shape, size, location, and gaps for periodic and aperiodic tilings. The algorithm projects the low-resolution input image into high-resolution space to model the actual shapes and/or gaps of the detector pixels. By using an aperiodic pixel layout such as a Penrose tiling significant improvements in super-resolution results can be obtained. An error back-projection super-resolution algorithm makes use of the exact detector model in its back projection operator for better accuracy. Theoretically, the aperiodic detector can be based on CCD (charge-coupled device) technology, and/or more practically, CMOS (complimentary metal oxide semiconductor) technology, for example.
REFERENCES:
patent: 6459823 (2002-10-01), Altunbasak et al.
patent: 6664955 (2003-12-01), Deering
patent: 6665012 (2003-12-01), Yang et al.
patent: 6700680 (2004-03-01), Toyoda et al.
patent: 6950109 (2005-09-01), Deering
patent: 7239428 (2007-07-01), Solecki
patent: 7248271 (2007-07-01), Credelle et al.
patent: 7358929 (2008-04-01), Mueller et al.
patent: 2005/0152005 (2005-07-01), Damera-Venkata
patent: 2006/0159369 (2006-07-01), Young
patent: 2007/0064976 (2007-03-01), England, III
patent: 2007/0133903 (2007-06-01), Zomet et al.
patent: 2008/0138604 (2008-06-01), Kenney et al.
patent: 998122 (2000-05-01), None
Aly, “Regularized Image Up-sampling”, Mar. 2004, Hussein A Aly, 2004, pp. 179.
Malioutov, “A Sparse Signal Reconstruction Perspective for Source Localization with Sensor Arrays”, Jul. 2003, Massachusetts Institute of Technology, 2003, pp. 1-172 .
Lin, et al., “Fundamental Limits of Reconstruction-Based Superresolution Algorithms under Local Translation”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, No. 1, Jan. 2004, IEEE, 2004, pp. 1-15.
International Search Report, mailed Dec. 23, 2008, 11 pages.
Sung C. Park, et al., “Super-resolution image reconstruction: a technical overview”, IEEE Signal Processing Magazine, May 2003, pp. 21-36, vol. 20, No. 3.
B.E. Burke, et al., “640×480 back-illuminated CCD imager with improved blooming control for night vision”, Electron Devices Meeting, 1998. IEDM '98 Technical Digest., International, Dec. 6-9, 1998, pp. 33-36, San Francisco, CA.
Allis, et al., Chaos and Graphics, “Visualizing point sets, fractals, and quasicrystals using raster techniques”, Computers and Graphics, Jun. 2001, pp. 519-527, vol. 25, Issue 3.
Ben-Ezra Moshe
Lin Zhouchen
Wilburn Bennett
Collins L. Alan
Collins & Collins Incorporated
Couso Yon
Microsoft Corporation
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