DocumentCode
3358419
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
fYear
1992
fDate
11-14 Oct 1992
Firstpage
1129
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/MILCOM.1992.244110
Filename
244110
Link To Document