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
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;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC, Canada
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.899404