DocumentCode
2012519
Title
Wavelet denoising in non gaussian noise using MDL principle
Author
Xie, Jiecheng ; Zhang, Dali ; Xu, Wenli
Author_Institution
Dept. of Autom., Tsinghua Univ., Beijing, China
Volume
3
fYear
2002
fDate
2002
Firstpage
2075
Abstract
Wavelet methods have succeeded in image denoising in gaussian noise. In non-gaussian noise, however, these methods will degrade drastically. By employing the MDL principle and a wavelet coefficient model, this paper discusses a study on image denoising in gaussian mixture noise. A new denoising scheme is derived and is based on per pixel detection. Experiment results show that the new scheme can not only denoise the image with small square error, but also provide a facility for the further compression.
Keywords
data compression; image processing; noise; wavelet transforms; MDL principle; experiment results; gaussian mixture noise; image compression; image denoising; minimum description length; nongaussian noise; per pixel detection; small square error; wavelet coefficient model; wavelet denoising; Active noise reduction; Array signal processing; Automation; Degradation; Gaussian noise; Image coding; Image denoising; Noise reduction; Wavelet coefficients; Wavelet domain;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN
0-7803-7268-9
Type
conf
DOI
10.1109/WCICA.2002.1021450
Filename
1021450
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