DocumentCode
1740848
Title
Total variation improved wavelet thresholding in image compression
Author
Chan, Tony E. ; Zhou, H.M.
Author_Institution
Dept. of Math., California Univ., Los Angeles, CA, USA
Volume
2
fYear
2000
fDate
10-13 Sept. 2000
Firstpage
391
Abstract
In this paper, we propose using partial differential equation (PDE) techniques in wavelet based image processing to reduce edge artifacts generated by wavelet thresholding. We employ minimization techniques, in particular the minimization of total variation, to modify the retained standard wavelet coefficients so that the reconstructed images have less oscillations near edges. Numerical experiments show that this approach improves the reconstructed image quality in wavelet compression and in denoising.
Keywords
data compression; image coding; image reconstruction; interference suppression; minimisation; partial differential equations; transform coding; wavelet transforms; edge artifacts reduction; image compression; image denoising; partial differential equations; reconstructed image quality; total variation minimization; wavelet based image processing; wavelet coefficients; wavelet thresholding; Digital images; Frequency; Image coding; Image processing; Image reconstruction; Image restoration; Noise reduction; TV; Wavelet coefficients; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location
Vancouver, BC, Canada
ISSN
1522-4880
Print_ISBN
0-7803-6297-7
Type
conf
DOI
10.1109/ICIP.2000.899404
Filename
899404
Link To Document