Image analysis – Image enhancement or restoration – Image filter
Reexamination Certificate
2006-06-27
2006-06-27
Patel, Kanjibhai (Department: 2625)
Image analysis
Image enhancement or restoration
Image filter
C382S263000, C382S264000, C382S265000
Reexamination Certificate
active
07068851
ABSTRACT:
A method and apparatus for processing image data are described. In one embodiment, a method of processing image data comprises decomposing the image data into multiple decomposition levels by applying a wavelet transform to the image data, and modifying coefficients in at least two of the decomposition levels by scaling coefficients in theses decomposition levels using different scale dependent parameters for each of the decomposition levels.
REFERENCES:
patent: 5644662 (1997-07-01), Vuylsteke
patent: 5717789 (1998-02-01), Anderson et al.
patent: 5774578 (1998-06-01), Shimizu
patent: 5805721 (1998-09-01), Vuylsteke et al.
patent: 5867606 (1999-02-01), Tretter
patent: 5883973 (1999-03-01), Pascovici et al.
patent: 6263120 (2001-07-01), Matsuoka
patent: 1 164 781 (2001-12-01), None
Vetterli, Martin, and Kovacevic, Jelena. Wavelets and Subband Coding, Upper Saddle River: Prentice Hall, 1995, ISBN 0-13-097080-8.
Boccignone, Giuseppe, and Picariello, Antonio.“Multiscale Contrast Enhancement of Medical Images”, Acoustics, Speech, and Signal Processing, 1997 IEEE International Conference, Apr. 21-24, 1997.
Choi, Hyeokho, and Baraniuk, Richard. “Multiple Basis Wavelet Denoising Using Besov Projections”, Image Processing, ICIP 99 Proceedings, Oct. 24-28, 1999.
Abramovich, F., Silverman, B.W., “Wavelet Decomposition Approaches to Statistical Inverse Problems,” Biometrika, vol. 85, pp. 115-129, 1998.
Bhakaran, V., et al., “Text and Image Sharpening of Scanned Images in the JPEG Domain,” Proceedings of the 1997 International Conference on Image Processing (ICIP '97), pp. 326-329, 1997.
Donoho, D.L., “Nonlinear solution of linear inverse problems by wavelet-vaguelett decomposition,” J. of Appl. and Comp. Harm. Anal, vol. 2, pp. 101-115, 1995.
Mallat, S., A Wavelet Tour of Signal Processing. Academic Press, 1998.
Neelamani, R., Choi; H., Baraniuk, R., “Wavelet-based Deconvolution for III-conditioned Systems,” in Proceedings of ICASSP, vol. 6, pp. 3241-3244, 1998.
Polesel, A., et al., “Adaptive unsharp masking for contrast enhancement,” in Proceedings of ICIP'97, pp. 267-270, 1997.
Zong, X., Laine, A.F., Geiser, E.A., Wilson, D.C., “De-Noising and contrast enhancement via wavelet shrinkage and nonlinear adaptive gain,” Proceedings of the SPIE, vol. 2762, pp. 566-574, Orlando, FL, 1996.
Andrews, H.C., Hunt, B.R., Digital Image Restoration. Prentice-Hall, Inc. Englewood Cliffs, New Jersey, 1977.
Berkner, K., Wells Jr, R.O., “Smoothness estimates for soft-threshold denoising via translation invariant wavelet transforms,” Tech. Rep. CML TR98-01, Rice University, 1998.
Coifman, R.R., Donoho, D.L., “Translation invariant denoising,” in Wavelets and Statistics, Springer Lecture Notes (A. Antoniades, ed.), Springer-Verlag, 1995.
Donoho, D.L., “De-noising by soft-thresholding,” IEEE Transactions on Information Theory, vol. 41, No. 3, pp. 613-627, 1995.
Jain, A.K., Fundamentals of digital image processing. Prentice Hall, Englewood Cliffs, NJ, 1989.
Kingsbury, N., “The dual-tree complex wavelet transform: a new efficient tool for image restoration and enhancement,” in Proc. European Signal Processing Conf., pp. 319-322, 1998.
Lang, M., Guo, H., Odegard, J.E., Burrus, C.S., Wells Jr, R.O., “Noise reduction using an undecimated discrete wavelet transform,” IEEE Signal Processing Letters, vol. 3, pp. 10-12, 1996.
Pratt, W., Digital Image Processing, John Wiley & Sons, NY, 1978.
Abramovich, F., Sapatinas, T., Silverman, B.W., “Wavelet Thresholding via a Bayesian Approach,” J. Royal Statist. Soc. Ser. B, vol. 60, pp. 725-749, 1998.
Devore, R.A., Jawerth, B., Lucier, B.J., “Image compression through wavelet transform coding,” IEEE Trans. Information Theory, vol. 38, No. 2, pp. 719-746, 1992.
Donoho, D.L., Johnstone, I.M., “Adaption to unknown smoothness via wavelet shrinkage,” J. Amercian Statist. Assoc., pp. 1200-1224, 1995.
Donoho, D.L., Vetterli, M., DeBore, R.A., Daubechies, I., “Data compression and harmonic analysis,” IEEE Transactions on Information Thoery, vol. 44, No. 6, pp. 2435-2476, 1998.
Levy Vehel, J., Guiheneuf, B., “2-microlocal analysis and applications in signal processing” in Proceedings of International Wavelet Conference, Tanger, Morocco, 1998.
Munoz, A., Blu T., Unser, M., “Non-Euclidean Pyramids,” in Proceedings of SPIE Conference, San Diego, vol. 4119, pp. 710-720, 2000.
Burt, Peter J., et al., “The Laplacian Pyramid as a Compact Image Code,” IEEE Transactions on Communications, vol. Com-31, No. 4, Apr. 1983, pp. 532-540.
Galatsanos, Nikolas P., et al., “Methods for Choosing the Regularization Parameter and Estimating the Noise Variance in Image Restoration and Their Relation,” IEEE Transactions on Image Processing, vol. 1, No. 3, Jul. 1992, pp. 322-336.
Lu, Jian, et al., “Contrast Enhancement Via Multiscale Graident Transformation,” Proceedings of the 1994 International Conference on Image Processing (ICIP) '97, pp. 482-486.
Carrato, Sergio, et al: “A Simple Edge-Sensitive Image Interpolation Filter”, Proceedings of the International Conference on Image Processing (ICIP) Lausanne, Sep. 16-19. 1996, New York, IEEE, US, vol. 1, pp. 711-714, XP010202493.
Carey, W. Knox, et al: “Regularity-Preserving Image Interpretation”, IEEE Transactions on Image Processing, vol. 8., No. 9, Sep. 1999, pp. 1293-1297, XP002246254.
Reeves, T.H., et al: “Multiscale-Based Image Enhancement”, Electrical and Computer Engineering, 1997. Engineering Innovation: Voyage of Discovery. IEEE 1997 Canadian Conference on St. Johns, NFLD., Canada May 25-28, 1997, New York, NY. (pp. 500-503), XP010235053.
Blakely , Sokoloff, Taylor & Zafman LLP
Patel Kanjibhai
Perungavoor Sath V.
Ricoh Co. Ltd.
LandOfFree
Multiscale sharpening and smoothing with wavelets does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Multiscale sharpening and smoothing with wavelets, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Multiscale sharpening and smoothing with wavelets will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3700347