Image analysis – Image enhancement or restoration
Reexamination Certificate
2008-04-01
2008-04-01
Kassa, Yosef (Department: 2624)
Image analysis
Image enhancement or restoration
C382S260000, C382S274000, C382S275000, C382S282000, C358S003260, C358S003270, C358S463000
Reexamination Certificate
active
07352909
ABSTRACT:
A de-noising algorithm that obtains an estimate of a noise-free portion of a noise-containing digital signal by applying a set of M linear transforms to the noise-containing digital signal, determining M initial de-noised estimates of each digital element of the digital signal, deriving a combination of weight factors for the M initial de-noised estimates of each digital element by formulating the combination as a linear estimation problem and solving it for the individual weight factors, and formulating a final de-noised estimate of each digital element based on the corresponding M initial de-noised estimates and the combination of weight factors. The combination of weight factors is an optimal combination that is derived such that a conditional mean squared error with respect to the initial de-noised estimates is minimized. The optimal determination is further determined based on a scaling factor that removes explicit dependence to noise variance and on one of several matrices.
REFERENCES:
patent: 5081690 (1992-01-01), Tan
patent: 5223990 (1993-06-01), Yoshida et al.
patent: 5442462 (1995-08-01), Guissin
patent: 5715052 (1998-02-01), Fujino et al.
patent: 5751361 (1998-05-01), Kim
patent: 5841477 (1998-11-01), Kim
patent: 5912707 (1999-06-01), Kim
patent: 5936674 (1999-08-01), Kim
patent: 6163868 (2000-12-01), Kondo et al.
patent: 6263108 (2001-07-01), Kondo et al.
patent: 6285410 (2001-09-01), Marni
patent: 6311297 (2001-10-01), Kondo et al.
patent: 6377280 (2002-04-01), Acharya et al.
patent: 6455860 (2002-09-01), Mooney
patent: 6496604 (2002-12-01), Bricourt
patent: 6549674 (2003-04-01), Chui et al.
patent: 6567497 (2003-05-01), Reim
patent: 6587509 (2003-07-01), Suzuki et al.
patent: 6587592 (2003-07-01), Georgiev et al.
patent: 6610256 (2003-08-01), Schwartz
patent: 6611627 (2003-08-01), LaRossa et al.
patent: 6636565 (2003-10-01), Kim
patent: 6643406 (2003-11-01), Hajjahmad et al.
patent: 6859565 (2005-02-01), Baron
patent: 6862366 (2005-03-01), Bhattacharjya
patent: 2003/0086623 (2003-05-01), Berkner et al.
“Translation-Invariant De-Noising”, R.R. Coifman and D.L. Donoho, Yale University and Stanford University, pp. 1-26.
“Ideal Spatial Adaptation by Wavelet Shrinkage”, David L. Donoho, Iain M. Johnstone, Dept. of Statistics, Stanford University, Stanford CA, Jun. 1992, Revised Apr. 1993, pp. 1-30.
“Error Resilient Video Coding Techniques”, Real-Time Video Communications over Unreliable Networks, Yao Wang, et al.,IEEE Signal Processing Magazine, Jul. 2000, pp. 61-82.
“A Dual-Tree Complex Wavelet Transform with Improved Orthogonality and Symmetry Properties”, Nick Kingsbury, Signal Processing Group, Dept. of Engineering, University of Cambridge, Cambridge UK.
“On the Importance of Combining Wavelet-Based Nonlinear Approximation with Coding Strategies”, Albert Cohen, et al.,IEEE Transactions on Information Theory, vol. 48, No. 7, Jul. 2002, pp. 1895-1921.
“Concealment of Damaged Block Transform Coded Images Using Projections onto Convex Sets”, Huifang Sun. et al.,IEEE Transactions on Image Processing, vol. 4, No. 4, Apr. 1995, pp. 470-477.
“Spatially Adaptive Image Denoising Under Overcomplete Expansion”, Xin Li and Michael T. Orchard, Department of Electrical Engineering, Princeton University,IEEE 2000, pp. 300-303.
Spatially Adaptive Wavelet Thresholding with Contex Modeling for Image Denoising, S. Grace Chang, et al.,IEEE Transactions on Image Processing, vol. 9, No. 9, Sep. 2000, pp. 1522-1531.
“Error Control and Concealment for Video Communication: A Review”, Yao Wang and Qin-Fan Zhu,Proceedings of the IEEE, vol. 86, No. 5, May 1998, pp. 974-997.
“De-Noising by Soft-Thresholding”, David L. Donoho,IEEE Transactions on Information Theory. vol. 41. No. 3. May 1995, pp. 613-627.
“Analysis of Multiresolution Image Denoising Schemes Using Generalized Gaussian and Complexity Priors”, Pierre Moulin and Juan Liu,IEEE Transactions of Information Theory, vol. 45, No. 3, Apr. 1999, pp. 909-919.
“Interpolation of Missing Data in Image Sequences”, Anil C. Kokaram, et al.,IEEE Transactions of Image Processing, vol. 4, No. 11, Nov. 1995, pp. 1509-1519.
“Information Loss Recovery for Block-Based Image Coding Techniques-A Fuzzy Logic Approach”, Xiaobing Lee, et al.,IEEE Transactions on Image Processing, vol. 4, No. 3, Mar. 1995, pp. 259-273.
“DCT Coefficients Recovery-Based Error Concealment Technique and Its Application to the MPEG-2 Bit Stream Error”, Jong Wook Park, et al.,IEEE Transactions on Circuits and Systems for Video Technology, vol. 7, No. 6, Dec. 1997, pp. 845-854.
“A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients”, Javier Portilla and Eero P. Simoncelli, Center for Neural Science, and Courant Institute of Mathematical Sciences, New York University, New York, NY, International Journal of Computer Vision 40(1), pp. 49-71, 2000.
“Filling-In by Joint Interpolation of Vector Fields and Gray Levels”, Coloma Ballester, et al.IEEE Transactions on Image Processing, vol. 10, No. 8, Aug. 2001, pp. 1200-1211.
“Nonlinear approximation”, Ronald A. DeVore, Department of Mathematics, University of South Carolina, Columbia, SC,Cambridge University Press, 1998, pp. 51-150.
“Errorless Restoration Algorithms for Band-Limited Images”, Paulo Jorge S. G. Ferreira and Armando J. Pinho,IEEE, 1994, pp. 157-161.
Transform Coded Image Reconstruction Exploiting Interblock Correlation, Sheila S. Hemami and Teresa H.-Y. Meng,IEEE Transactions on Image Processing, vol. 4, No. 7, Jul. 1995, pp. 1023-1027.
“Combining Frequency and Spatial Domain Information for Fast Interactive Image Noise Removal”, Anil N. Hirani, Takashi Totsuka, Sony Corporation.
“Reconstruction of Baseline JPEG Coded Images in Error Prone Environments”, Shahram Shirani, et al.,IEEE Transactions on Image Processing, vol. 9, No. 7, Jul. 2000, pp. 1292-1299.
“Fast DCT-Based Spatial Domain Interpolation of Blocks in Images”, Ziad Alkachouh and Maurice G. Bellanger,IEEE Transactions on Image Processing, vol. 9, No. 4, Apr. 2000, pp 729-732.
Guleryuz, Onur G., “Weighted Overcomplete Denoising”, Conference Record of the Thirty-Seventh Asilomar Conference on Signals, Systems and Computers, pp. 1992-1996, IEEE, Nov. 9, 2003.
Kassa Yosef
Seiko Epson Corporation
LandOfFree
Weighted overcomplete de-noising does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Weighted overcomplete de-noising, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Weighted overcomplete de-noising will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-2779843