Removal of Mixed Gaussian and Impulse Noise Using Directional Tensor Product Complex Tight Framelets-Reference-Cited by-同舟云学术

Removal of Mixed Gaussian and Impulse Noise Using Directional Tensor Product Complex Tight Framelets

Published:2015-07-02 Issue:1 Volume:54 Page:64-77
ISSN:0924-9907
Container-title:Journal of Mathematical Imaging and Vision
language:en
Short-container-title:J Math Imaging Vis

Author:

Shen Yi,Han Bin,Braverman Elena

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Geometry and Topology,Computer Vision and Pattern Recognition,Condensed Matter Physics,Modelling and Simulation,Statistics and Probability

Link

http://link.springer.com/content/pdf/10.1007/s10851-015-0589-5.pdf

Reference24 articles.

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2. Cai, J.-F., Chan, R.H., Shen, Z.: A framelet-based image inpainting algorithm. Appl. Comput. Harmon. Anal. 24, 131–149 (2008)

3. Cai, J.-F., Chan, R.H., Shen, L., Shen, Z.: Restoration of chopped and nodded images by framelets. SIAM J. Sci. Comput. 30(3), 1205–1227 (2008)

4. Cai, J.-F., Osher, S., Shen, Z.: Split bregman methods and frame based image restoration. Multi. Model. Simul. 8, 337–369 (2009)

5. Chan, R.H., Ho, C.-W., Nikolova, M.: Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization. IEEE Trans. Image Process. 14, 1479–1485 (2005)

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