Denoising 3D Medical Images Using a Second Order Variational Model and Wavelet Shrinkage-Reference-Cited by-同舟云学术

Denoising 3D Medical Images Using a Second Order Variational Model and Wavelet Shrinkage

Published:2012 Issue: Volume: Page:138-145
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Tran Minh-Phuong,Péteri Renaud,Bergounioux Maitine

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-31298-4_17.pdf

Reference15 articles.

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3. Holschneider, M., Kronland-Martinet, R., Morlet, J., Tchamitchian, P.: A real time algorithm for signal analysis with the help of the wavelet transform. In: Wavelets, Time-Frequency Methods and Phase Space, pp. 286–297. Springer, Berlin (1989)

4. Chambolle, A., Lions, P.L.: Image recovery via total variation minimization and related problems Numerische Mathematik. Journal of Mathematical Imaging and Vision 77, 167–188 (1997)

5. Chan, T., Esedoglu, S., Park, F., Yip, A.: Recent Developments in total Variation Image Restoration. CAM Report 05-01, Department of Mathematics, UCLA (2004)

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