Total Variation Denoising
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This Demonstration shows an iterative image denoising technique based on total variation regularization. You can vary the regularization parameter and the maximal number of iterations. Three different images can be degraded by four types of noise and you can also vary the amount of noise.
Contributed by: Piotr Wendykier (March 2011)
Open content licensed under CC BY-NC-SA
Snapshots
Details
References
[1] L. I. Rudin, S. Osher, and E. Fatemi, "Nonlinear Total Variation Based Noise Removal Algorithms," Physica D, 60, 1992 pp. 259–268.
[2] T. F. Chan and J. Shen, Image Processing and Analysis: Variational, PDE, Wavelet, and Stochastic Methods, Philadelphia: SIAM, 2005.
[3] Wikipedia, "Total Variation Denoising." http://en.wikipedia.org/wiki/Total_variation_denoising.
Permanent Citation
"Total Variation Denoising"
http://demonstrations.wolfram.com/TotalVariationDenoising/
Wolfram Demonstrations Project
Published: March 10 2011
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