Title :
Fast wavelet techniques for near-optimal image processing
Author :
DeVore, Ronald A. ; Lucier, Bradley J.
Author_Institution :
Dept. of Math., Univ. of South Carolina, Columbia, SC, USA
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 :
data compression; harmonic analysis; image coding; minimisation; random noise; wavelet transforms; Gaussian noise removal algorithms; K-functionals; fast wavelet techniques; harmonic analysis; image compression; minimization problems; near-optimal image processing; nonlinear algorithms; unified mathematical approach; Filters; Frequency measurement; Gaussian noise; Image analysis; Image coding; Image processing; Image reconstruction; Mathematics; Minimization methods; Size measurement;
Conference_Titel :
Military Communications Conference, 1992. MILCOM '92, Conference Record. Communications - Fusing Command, Control and Intelligence., IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0585-X
DOI :
10.1109/MILCOM.1992.244110
