Generic image hallucination

Image analysis – Image enhancement or restoration

Reexamination Certificate

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Details

C382S263000, C382S264000, C382S266000, C382S274000, C382S299000

Reexamination Certificate

active

07379611

ABSTRACT:
Techniques are disclosed to enable generation of a high-resolution image from any generic low-resolution image. In one described implementation, a method includes extracting, at a training phase, a plurality of primal sketch priors from training data. At a synthesis phase, the plurality of primal sketch priors are utilized to improve a low-resolution image by replacing one or more low-frequency primitives extracted from the low-resolution image with corresponding ones of the plurality of primal sketch priors.

REFERENCES:
patent: 6263103 (2001-07-01), Freeman et al.
patent: 6380934 (2002-04-01), Freeman et al.
patent: 6434280 (2002-08-01), Peleg et al.
patent: 6766067 (2004-07-01), Freeman et al.
Baker et al. “Hallucinating Faces”, Technical Report TR-99-32, The Robotics Insitute, Carnegie Mellon University, Sep. 1999, pp. 1-6.
Bockaert, “Interpolation”, Digital Imaging:Glossary:Learn:Digital Photography Review, hhtp://www.dpreveiw.com/learn;?key=interpolation. pp. 1-3.
Guo et al., “Primal Sketch:Intergrating Texture and Structure”, Mar. 21, 2005, Department of Statistics, UCLA, pp. 1-37.
Okada et al, “Analysis and Synthesis of Pose Variations of Human Faces by a Linear PCMAP Model and its Application for Pose Invariant Face Recognition System”, Mar. 28, 2000, IEEE Automatic Face and Gesture Recognition 2000, pp. 142-149.
Toro et al, “Recovery of Two Transparent Primitive Images from Two Frames”, May 17, 2004, IEEE Acoustics, Speech, and Signal Processing Proceedings, 2004. , vol. 3, pp. III-225-III-228.
Chi et al., “Algorithm of Image Enhancement Based on Order Morphology Filtering and Image Entrophy Difference”, Aug. 18, 2005, Proceedings of the 4thInternational Conference on Machine Learning and Cybernetics, pp. 5105-5110.
Gunturk et al., “Eigen face-Domain Super Resolution for Face Recognition”, IEEE Transactions on Image Processing, vol. 12, No. 5, May 2003, pp. 597-605.
Li et al. “Face Hallucination with Pose Variation”, May 17, 2004, IEEE 6th International Conference on Automatic Face and Gesture Recognition 2004, pp. 723-728.
Liu et al. “Face Hallucination: Theory and Practice”, Feb. 15, 2007, Computer Science and Artifical Intelligence Lab, MIT, Massachusetts, USA, pp. 1-33.
Sun et al. “Image Hallucination with Primal Sketch Priors”, Jun. 18-20, 2003, IEEE Computer vision and Pattern Recongition, vol. 2, pp. 729-736.
Guo et al. “Toward a Mathematical Theory of Primal Sketch and Sketchability”, Apr. 2003, Proceedings of the 9th International Conference on Computer Vision (ICCV '03), pp. 1-8.
Hertzmann, A., Jacobs, C. E., Oliver, N., Curless, B., Salesin D. H.; “Image Analogies” SIGGRAPH 2001, 14 pgs.
Lee, A. B., Pedersen, K. S., Mumford, D.; “The Complex Statistics of High-Contrast Patches in Natural Images” SCTV 2001, 31 pgs.
Baker, S., Kanade, T.; “Limits on Super-Resolution and How to Break Them” CVPR 2000, 36pgs.
Freeman, W. T., Pasztor, E. C., Carmichael, O. T.; Learing Low-Level Vision International Journal of Computer Vision, 2000, pp. 25-47.
Irani, M., Peleg, S.; “Motion Analysis for Image Enhancement: Resolution, Occlusion and Transparency” JVCI 1993, 24 pgs.
Morse, B. S., Schwartzwald, D.; “Image Magnification Using Level-Set Reconstruction” CVPR 2001, 8 pgs.
Mount, D., Arya, S.; “ANN: Library for Approximate Nearest Neighbor Searching” published on the internet at http://www.cs.umd.edu/mount/ANN at least as early as Jan. 2004, 2 pgs.
Perona, P., Malik, J.; “Detecting and Localizing Edges Composed of Steps, Peaks and Roofs” ICCV 1990, pp. 52-57.
Li, X., Orchard, M.T.; “New Edge-Directed Interpolation” IEEE 2001, pp. 1521-1527.
Mumford, D.; “Pattern Theory: the Mathematics of Perception”ICM 2002 vol. 3, 21 pgs.
van Hateren, J.H., van der Schaaf, A.; “Independent Component Filters of Natural Images Compared with Simple Cells in Primary Visual Cortex” Proceeding so fthe Royal Society ser B. 1998 pp. 359-366.
Liu, C., Shum, H.-Y., Zhang, C.-S.; “A Two-Step Approach to Hallucinating Faces: Global Prametric Model and Local Nonparametric Model” CVPR 2001, 7 pgs.
Sun, Shum, Zheng: “Stereo Matching Using Belief Propagation” ECCV 2002, LNCS 2351, pp. 510-524, 2002.

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