Image analysis – Image enhancement or restoration
Reexamination Certificate
2005-04-12
2005-04-12
Au, Amelia M. (Department: 2623)
Image analysis
Image enhancement or restoration
C382S304000, C382S260000, C382S275000
Reexamination Certificate
active
06879729
ABSTRACT:
The present invention provides a data de-noising system utilizing processors and wavelet denoising techniques. Data is read and displayed in different formats. The data is partitioned into regions and the regions are distributed onto the processors. Communication requirements are determined among the processors according to the wavelet denoising technique and the partitioning of the data. The data is transforming onto different multiresolution levels with the wavelet transform according to the wavelet denoising technique, the communication requirements, and the transformed data containing wavelet coefficients. The denoised data is then transformed into its original reading and displaying data format.
REFERENCES:
patent: 5692107 (1997-11-01), Simoudis et al.
patent: 5758147 (1998-05-01), Chen et al.
patent: 5787425 (1998-07-01), Bigus
patent: 6049861 (2000-04-01), Bird et al.
patent: 6124866 (2000-09-01), Asano et al.
S. K. Murthy, et al., “A System for Induction of Oblique Decision Trees,” 1994, Journal of Artificial Intelligence Research 2 (1994), pp. 1-32.
S. G. Chang, et al., “Adaptive Wavelet Thresholding for Image Denoising and Compression,” Oct. 1997, IEEE Transactions on Image Processing, pp. 1-35.
A. Bruce, et al., “Applied Wavelet Analysis with S-PLUS,” 1996, http://www.springer_ny.com/catalog
pljul96np/DATA/0-387-94714-0.html, 1 page.
K. Alsabti, et al., “CLOUDS; A Decision Tree Classifier for Large Datasets,” Oct. 27, 1998, pp. 1-34.
C. Kamath, et al., “On the design and implementation of a parallel, object-oriented, image processing toolkit,” Center for Applied Scientific Computing, Lawrence Livermore National Laboratory, 2000, 13 pages.
P.B. Duffy, et al., “Effect of Missing Data on Estimates of Near-Surface Temperature Change Since 1900,” 2000, UCRL-JC-140272-ABS, 2 pages.
R. Todd Ogden, “Essential Wavelets for Statistical Applications and Data Analysis,” 1997, Birkhauser, 16 pages.
D. Donoho, et al., “Ideal Spatial Adaptation by Wavelet Shrinkage,” 1994, Biometrika (1994), 81, 3. pp. 425-455.
R. Kohavi, et al., “MLC++: A Machine Learning Library in C++,” 1994, Appears in Tools with AI'94, 4 pages.
Imola K. Fodor, et al., “On denoising images using wavelet-based statistical techniques,” 2001, IEEE Transactions in Image Provessing vol. XX, No. Y, 2001, draft, pp. 100-125.
C. Kamath, et al, “On the design and implementation of a parallel, object-oriented, image processing toolkit,” Jul. 2000, Parallel and Distributed Methods for Image Processing IV, 12 pages.
C. Kamath, et al., “On the Design of a Parallel Object-Oriented Data Mining Toolkit,” 2000, Workshop on Distributed and Parallel Knowledge Discovery, Boston, MA Aug., 20, 2000, 16 pages.
M. Joshi, “ScalParC: A New Scalable and Efficient Parallel Classification Algorithm for Mining Large Datasets,” Apr. 1998, 20 pages.
E. Cantu-Paz, et al., “Using Evolutionary Algorithms to Induce Oblique Decision Trees,” 2000, Center for Applied Scientific Computing, Lawrence Livermore National Laboratory, 11 pages.
D. Donoho, et al., “Wavelab 802 for Matlab5.x,” http://www-stat.standord.edu/˜wavelab, Oct. 3, 1999, 3 pages.
A. Bruce, et al., “WaveShrink: Shrinkage Functions and Thresholds,” StatSci Division, MathSoft, Inc., 1995, 12 pages.
F. Ruggeri, et al., “A Bayesian Decision Theoretic Approach to Wavelet Thresholding,” CNR-IAMI and Duke University, preprint 1995 (published date 1998), 17 pages.
Baldwin Chuck H.
Fodor Imola K.
Kamath Chandrika
Tang Nu A.
Au Amelia M.
Scott Eddie E.
The Regents of the University of California
Thompson Alan H.
Tucker Wesley
LandOfFree
Parallel object-oriented, denoising system using wavelet... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Parallel object-oriented, denoising system using wavelet..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Parallel object-oriented, denoising system using wavelet... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3406993