Fast wavelet techniques for near-optimal image processing
- 2 January 2003
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 1129-1135
- https://doi.org/10.1109/milcom.1992.244110
Abstract
The authors 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. They then summarize the previously developed mathematics that analyzes the image compression and Gaussian noise removal algorithms.Keywords
This publication has 10 references indexed in Scilit:
- Data compression using wavelets: error, smoothness and quantizationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Compression of Wavelet DecompositionsAmerican Journal of Mathematics, 1992
- Image compression through wavelet transform codingIEEE Transactions on Information Theory, 1992
- Ten Lectures on WaveletsPublished by Society for Industrial & Applied Mathematics (SIAM) ,1992
- Wavelets and signal processingIEEE Signal Processing Magazine, 1991
- Spline Models for Observational DataPublished by Society for Industrial & Applied Mathematics (SIAM) ,1990
- Optimal approximations by piecewise smooth functions and associated variational problemsCommunications on Pure and Applied Mathematics, 1989
- Interpolation of Besov spacesTransactions of the American Mathematical Society, 1988
- n-Widths in Approximation TheoryPublished by Springer Nature ,1985
- Interpolation SpacesPublished by Springer Nature ,1976