Image analysis – Image transformation or preprocessing – Combining image portions
Reexamination Certificate
2007-07-24
2007-07-24
Bella, Matthew C. (Department: 2624)
Image analysis
Image transformation or preprocessing
Combining image portions
C382S297000, C382S298000, C382S299000
Reexamination Certificate
active
10808267
ABSTRACT:
A system for enhancing images from an electro-optic imaging sensor and for reducing the necessary focal length of a sensor while preserving system acuity. This system uniquely reduces the necessary focal length and enhances images by collecting a video sequence, estimating motion associate with this sequence, assembling video frames into composite images, and applying image restoration to restore the composite image from pixel, lens blur, and alias distortion. The invention synthetically increases the pixel density of the focal plane array. Thus it reduces the necessary size of the projected blur circle or equivalently it reduces the minimum focal length requirements.
REFERENCES:
patent: 5975703 (1999-11-01), Holman et al.
patent: 6375327 (2002-04-01), Holman et al.
patent: 6434280 (2002-08-01), Peleg et al.
patent: 6445415 (2002-09-01), Olsson
patent: 6480229 (2002-11-01), Driscoll et al.
patent: 6515696 (2003-02-01), Driscoll et al.
patent: 2004/0165781 (2004-08-01), Sun
patent: 02059692 (2002-08-01), None
Rumo et al., “Superresolution in images using optical flow and irregular sampling”, Summer 2003, LCAV—School of Computer and Communication Sciences.
Irani et al., “Motion Analysis for Image Enhancement: Resolution, Occlusion, and Transparency”, 1993, The Hebrew University of Jerusalem—Institute of Computer Science.
Irani et al., “Super Resolution from Image Sequences”, 1990, The Hebrew University of Jerusalem—Institute of Computer Science.
Huang, T. S. and Tsai, R.Y., “Multiple frame image restoration and registration”, Advances in Computer Vision and Image Processing, vol. 1, JAI Press, 1984.
Tekalp, A. M., Digital Video Processing, pp. 81-86 & table of contents, 1995 Prentice Hall.
Richardson, W.H., “Baysian-Based Iterative Method of Image Restoration”, J. Opt. Soc. Am., vol. 62, No. 1, p. 55-59 ( 1972).
Dixon, D.D. et al., “Pixon-based Deconvolution”, Astronomy and Astrophysics Supplement Series, vol. 120, pp. 683-686 (1996).
Jain, A.K., Fundamentals of Digital Image Processing, Chapter 8 and table of contents, pp. 267-341, Prentice Hall 1989.
J. M. Schuler, J. G. Howard, P. R. Warren, and D. A. Scribner, “TARID-based adaptive nonuniformity correction”, Proc. SPIE Int. Soc. Opt. Eng., vol. 4719, p. 240-246, 2002.
J. M. Schuler, J. G. Howard, P. R. Warren, and D. A. Scribner, TARID-based image super-resolution, Proc. SPIE Int. Soc. Opt. Eng. 4719, 247-254 (2002).
J. M. Schuler, J. G. Howard, P. R. Warren, and D. A. Scribner, “Scene-adaptive nonuniformity correction using TARID-composite image prediction”, Proc. SPIE Int. Soc. Opt. Eng. 4671, 888-894 (2002).
J. M. Schuler, J. G. Howard, P.R. Warren, and D. A. Scribner, “Resolution enhancement through TARID processing”, Proc. SPIE Int. Soc. Opt. Eng. 4671, 872-876, (2002).
J. M. Schuler, J. G. Howard, P. R. Warren, and D. A. Scribner, “Robust tie-point registration of disparate imaging sensors by matching optical flow” Proc. SPIE Int. Soc. Opt. Eng., vol. 4671, pp. 775-783 (2002).
J. M. Schuler, J. G. Howard, D.A. Scribner, P. R. Warren, R. B. Klein, M.P. Satyshur, and M. R. Kruer, “Resolution enhancement through a temporal accumulation of registered video”, Proc. SPIE Int. Soc. Opt. Eng., vol. 4372, pp. 137-142 (2001).
J.M. Schuler, J. G. Howard, D.A. Scribner, P.R. Warren, R. B. Klein, Michael P. Satyshur, and M.R. Kruer, “Analytic registration of spatially and spectrally disparate co-located imaging sensors achieved by matching optical flow”, Proc. SPIE Int. Soc. Opt. Eng., vol. 4381, pp. 265-274 (2001).
J.M. Schuler, J. G. Howard, D.A. Scribner, P.R. Warren, R. B. Klein, M. P. Satyshur, and M.R. Kruer, “Multiband E/O color fusion with consideration of noise and registration”, Proc. SPIE Int. Soc. Opt. Eng. 4029, pp. 32-40 (2000).
D.A. Scribner, J.M. Schuler, P.R. Warren, J. G. Howard, and M. R. Kruer, “Image preprocessing for the infrared” Proc. SPIE Int. Soc. Opt. Eng., vol. 4028, pp. 222-233 (2000).
J. G. Howard, P. R. Warren, R. Klein, J.M. Schuler, M. P. Satyshur, D. A. Scribner, and M. R. Kruer, “Real-time color fusion of E/O sensors with PC-based COTS hardware”, Proc. SPIE Int. Soc. Opt. Eng., vol. 4029, pp. 41-48 (2000).
J. M. Schuler, D. A. Scribner, and M. R. Kruer, “Alias reduction and resolution enhancement by a temporal accumulation of registered data from focal plane array sensors”, Proc. SPIE Int. Soc. Opt. Eng., vol. 4041, pp. 94-102 (2000).
J. M. Schuler and D.A. Scribner, “Increasing spatial resolution through temporal super-sampling of digital video”, Opt. Eng., vol. 38, Issue 5, pp. 801-805 (1999).
D.A. Scribner, J.M. Schuler, P.R. Warren, M.P. Satyshur, and M. R. Kruer, “Infrared color vision: separating objects from backgrounds” Proc. SPIE Int. Soc. Opt. Eng., vol. 3379, pp. 2-13 (1998).
R.R. Mayer, J. Waterman, J. Schuler, and D. Scribner, “Spectral optimization studies and schemes to enhance target detection and display for a three-band staring LWIR sensor” Proc. SPIE Int. Soc. Opt. Eng., vol. 5159, pp. 20-31 (2003).
R. G. Driggers, K. Krapels, S.Murrill, S.Young, M.Thielke, and J. Schuler, “Superresolution performance for undersampled imagers”, Opt. Eng., vol. 44, pp. 014002-1-14002-9 (2005).
K.A. Krapels, R.G. Driggers, S. Murrill, J. M. Schuler, M. Thielke, and S. S. Young, “Superresolution performance for undersampled imagers”, Proc. SPIE Int. Soc. Opt. Eng., vol. 5407, pp. 139-149 (2004).
Kondi, L. P., Scribner D.A. and Schuler, J. M., “Comparison of digital image resolution enhancement techniques”, Proc. SPIE Int. Soc. Opt. Eng., vol. 4719, pp. 220-229 (2002).
Jain, D. “Superresolution using Papoulis-Gerchberg Algorithm”, [online], [retrieved on Dec. 15, 2005], retrieved from the internet < URL: http://www.stanford.edu/class/ee392j/student—projects—2004.html>.
Schuler, J.M., Scribner, D.A., “Dynamic Sampling, Resolution Enhancement, and Super Resolution”, in Analysis of Sampled Image Systems, Tutorial Texts in Optical Engineering; vol. TT39; editors: Vollmerhausen, R.H., Driggers, R.G.; series editor:Donald O'Shea; SPIE Press, pp. 125-138, (2000).
Schuler, J. et al., “Super Resolution Imagery From Multi-frame Sequences with Random Motion”, Proceedings IRIS Passive Sensors Conference, vol. 1, 1998, pp. 63-77.
Schuler, J. et al., “Super Sampling of Digital Video”, Proceedings IRIS Passive Sensors Conference, vol. 1, 1999, pp. 295-300.
Howard J Grant
Schuler Jonathon M
Scribner Dean A
Bella Matthew C.
Edwards Patrick
Ferrett Sally A.
Karasek John J.
United States of America as Represented by the Secretary of the
LandOfFree
Algorithmic technique for increasing the spatial acuity of a... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Algorithmic technique for increasing the spatial acuity of a..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Algorithmic technique for increasing the spatial acuity of a... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3773104