DocumentCode :
2059734
Title :
Classifying the smoothness of images: theory and applications to wavelet image processing
Author :
DeVore, Ronald A. ; Lucier, Bradley J.
Author_Institution :
Dept. of Math., South Carolina Univ., Columbia, SC, USA
Volume :
2
fYear :
1994
fDate :
13-16 Nov 1994
Firstpage :
6
Abstract :
Devore, Jawerth, and Lucier (1992) introduced a definition of the smoothness of images that is directly related to the performance of wavelet compression schemes. The present authors survey previous results on the equivalence between smoothness, rate of decay of the wavelet coefficients, and efficiency of wavelet compression techniques applied to images. They report on other applications including deciding how many pixel quantization intervals are needed to preserve smoothness, and the fast solution of variational problems that arise naturally in several areas of image processing
Keywords :
data compression; image classification; image coding; image texture; quantisation (signal); variational techniques; wavelet transforms; classification; compression; efficiency; image processing; pixel quantization intervals; rate of decay; smoothness; variational problems; wavelet coefficient; wavelet image processing; Compression algorithms; Image coding; Image processing; Image reconstruction; Information theory; Mathematics; Pixel; Quantization; Size measurement; Wavelet coefficients;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
Type :
conf
DOI :
10.1109/ICIP.1994.413520
Filename :
413520
Link To Document :
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