(Enter summary)
Abstract: this
paper we present a unified mathematical approach that allows
one to formulate both linear and nonlinear algorithms
in terms of minimization problems related to the so-called
K-functionals of harmonic analysis. We then summarize
the previously developed mathematics that analyzes the
image compression and Gaussian noise removal algorithms.
We do not know of a specific formulation of the image reconstruction
problem that supports an analysis or even
definition of optimal solution. Although... (Update)
Context of citations to this paper: More
.... Wavelet thresholding for signal denoising sets small coefficients to zero, yielding an analytical compression of the signal (cf. [13, 12, 14, 11, 5]) In a series of papers, Donoho and Johnstone [13, 12, 14] assume the following additive, white noise model in the wavelet...
.... In particular, 12 nonlinear advection dominated transport has been studied with hybrid wavelets to isolate and resolve fronts [23, 24, 25, 26, 27]. Parameter Estimation, Geostatistics, and Site Studies To simulate multiphase flow through porous media, accurate estimates of...
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BibTeX entry: (Update)
R.A. DeVore and B.J. Lucier, Fast wavelet techniques for near-optimal image processing, Proc. IEEE Mil. Comm. Conf. 1992, IEEE Comm. Soc., New York. http://citeseer.ist.psu.edu/devore92fast.html More
@misc{ devore92fast,
author = "R. DeVore and B. Lucier",
title = "Fast wavelet techniques for near-optimal image processing",
text = "R.A. DeVore and B.J. Lucier, Fast wavelet techniques for near-optimal image
processing, Proc. IEEE Mil. Comm. Conf. 1992, IEEE Comm. Soc., New York.",
year = "1992",
url = "citeseer.ist.psu.edu/devore92fast.html" }
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