Image analysis – Image transformation or preprocessing – Changing the image coordinates
Reexamination Certificate
2011-08-30
2011-08-30
Cunningham, Gregory F (Department: 2624)
Image analysis
Image transformation or preprocessing
Changing the image coordinates
C382S151000
Reexamination Certificate
active
08009933
ABSTRACT:
A method is provided for speeding up a super-resolution processing by reducing the number of times for convolution operation that is the number of times for estimation calculation.A fast method of super-resolution processing for speeding up a super-resolution processing that estimates a high-resolution image from multiple low-resolution images with a displacement, which comprising: a first step for performing a registration of said multiple low-resolution images in a high-resolution image space and treating all pixels of said multiple low-resolution images after the registration as pixels sampled at unequal interval within said high-resolution image space; a second step for dividing said high-resolution image space into multiple small areas with a predefined size; and a third step for defining an estimated value at a predefined representative position within said small area as an estimated value of all pixels that exist within said small area for each small area divided in said second step.
REFERENCES:
patent: 6694064 (2004-02-01), Benkelman
patent: 2004/0061710 (2004-04-01), Messing et al.
patent: 2004/0170340 (2004-09-01), Tipping et al.
patent: 10-069537 (1998-03-01), None
Michael Elad et al.; A Fast Super-Resolution Reconstruction Algorithm for Pure Translational Motion and Common Space-Invariant Blur; IEEE Transactions on Image Processing; Aug. 1, 2001; pp. 1187-1193; vol. 10, No. 8.
Tuan Q. Pham et al.; Super-resolution Fusion using Adaptive Normalized Averaging; 10th Annual Conference of the Advanced School for Computing and Imaging (ASCI); Jun. 2004, XP 002539619; pp. 107-114.
Hans Knutsson et al.; Normalized and Differential Convolution Methods for Interpolation and Filtering of Incomplete and Uncertain Data; Computer Vision and Pattern Recognition, 1993, Proceedings CVPR 1993, I EEE Computer Society Conference, Jun. 15-17, 1993; pp. 515-523.
David Capel, Image Mosaicing and Super-resolution; XP 002539621, Section 5.8, 2003, Springer, London; pp. 104-109.
EP 05795779.7 European search report dated Aug. 14, 2009, reference Q.2EN46, as included in IDS received Sep. 9, 2009.
Michael Elad et al.; A Fast Super-Resolution Reconstruction Algorithm for Pure Translational Motion and Common Space-Invariant Blur; IEEE Transactions on Image Processing; Aug. 1, 2001; pp. 1187-1193; vol. 10, No. 8.
Tuan Q. Pham et al.; Super-resolution Fusion using Adaptive Normalized Averaging; 10th Annual Conference of the Advanced School for Computing and Imaging (ASCI); Jun. 2004, XP 002539619; pp. 107-114.
Hans Knutsson et al.; Normalized and Differential Convolution Methods for Interpolation and Filtering of Incomplete and Uncertain Data; Computer Vision and Pattern Recognition, 1993, Proceedings CVPR 1993, I EEE Computer Society Conference, Jun. 15-17, 1993; pp. 515-523.
David Capel, Image Mosaicing and Super-resolution; XP 002539621, Section 5.8, 2003, Springer, London; pp. 104-109.
Michael Elad et al.; A Fast Super-Resolution Reconstruction Algorithm for Pure Translational Motion and Common Space-Invariant Blur; IEEE Transactions on Image Processing; Aug. 1, 2001; pp. 1187-1193; vol. 10, No. 8.
Tuan Q. Pham et al.; Super-resolution Fusion using Adaptive Normalized Averaging; 10th Annual Conference of the Advanced School for Computing and Imaging (ASCI); Jun. 2004, XP 002539619; pp. 107-114.
Hans Knutsson et al.; Normalized and Differential Convolution Methods for Interpolation and Filtering of Incomplete and Uncertain Data; Computer Vision and Pattern Recognition, 1993, Proceedings CVPR 1993, IEEE Computer Society Conference, Jun. 15-17, 1993; pp. 515-523.
Michal Irani et al.; Super Resolution From Image Sequences; Proceedings of the International Conference on Pattern Recognition, Jun. 16-21, 1990; Conference A: Computer Vision and Conference B: pattern Recognition Systems and applications; Proceedings of the International Conference on PAT; vol. ii, Juen 16, 1990; pp. 115-120.
Tony F. Chan et al.; A Nonlinear Primal-Dual Method for Total Variation-Based Image Restoration; Siam Journal on Scientific Computing, vol. 20, No. 6, 1999, XP002539620; pp. 1964-1977.
David Capel, Image Mosaicing and Super-resolution; XP 002539621, Section 5.8, 2003, Springer, London; pp. 104-109.
Min Kyu Park et al., Super-Resolution Image Reconstruction: A Technical Overview; IEEE Signal Processing Magazine; May 1, 2003, vol. 20, No. 3, Piscataway, NJ, US, XP 011097476, pp. 21-36.
Shinichiro Sei, et al., “Super-resolved Image Synthesis for Scene of Multiple Planes with Uncalibrated Moving Camera”, The Transactions of the Institute of Electronics, Information and Communication Engineers D-2, vol. J86-D-2, No. 5, pp. 686-691, May 1, 2003, Japan, Abstract.
Masayuki Tanaka, et al., “Fast Algorithm for Reconstruction-based Super-resolution”, Information Processing Society of Japan Kenkyu Hokoku, vol. 2004, No. 113, (CVIM-146), pp. 97-104, Nov. 12, 2004, Japan, Abstract.
Moon Gi Kang, et al., “Super-Resolution Image Reconstruction”, IEEE Signal Processing Magazine, pp. 19-86, May 2003.
Brian C. Tom, et al., “Reconstruction of A High-Resolution Image by Simultaneous Registration, Restoration, and Interpolation of Low-Resolution Images”, IEEE, 1995, pp. 539-542.
Richard R. Schultz, et al., “ Extraction of High-Resolution Frames from Video Sequences”, IEEE Transactions on Image Processing, vol. 5, No. 6, Jun. 1996.
H. Stark, et al., “High-resolution image recovery from image-plane arrays, using convex projections”, vol. 6, No. 11, Nov. 1989, J. Opt. Soc. Am. A pp. 1715-1726.
Barbara Zitova, et al., “Image registration methods: a survey”, Image and Vision Computing 21 (2003) 977-1000.
David Capel, Image Mosaicing and Super-resolution, Distinguished Dissertations, CPHC, BCS, Springer, pp. 81-169.
William H. Press, et al., Numerical Recipes in C++, The Art of Scientific Computing, Second Edition, pp. 398-461.
Masao Shimizu, et al., “Two-Dimensional Simultaneous Sub-Pixel Estimation for Area-Based Matching”, D-2, vol. J87-D-2, No. 2, pp. 554-564, 2004/2, Japan, Abstract.
Masao Shimizu, et al., “Precise Simultaneous Estimation of Deformation N-Parameters Extended from Two-Dimensional Simultaneous Estimation”, IPSJ SIG Technical Report, 2004-CVIM-143 (11), 2004/3/5 pp. 81-88, Abstract.
Okutomi Masatoshi
Tanaka Masayuki
Cunningham Gregory F
Sughrue & Mion, PLLC
Tokyo Institute of Technology
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