Salt and Pepper Denoising by Adaptive TV L1 Regularization

Total Variation L1 Fidelity Salt-and-Pepper Denoising with Adaptive Regularization Parameter
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Updated 11 Sep 2020

Please cite the following papers:
Dang N. H. Thanh, V. B. Surya Prasath, Le Thi Thanh. "Total Variation L1 Fidelity Salt-and-Pepper Denoising with Adaptive Regularization Parameter". 2018 5th NAFOSTED Conference on Information and Computer Science (NICS), Ho Chi Minh city, 2018. DOI: 10.1109/NICS.2018.8606870

Thanh, Dang Ngoc Hoang, et al. “Adaptive Total Variation L1 Regularization for Salt and Pepper Image Denoising.” Optik, vol. 208, Elsevier BV, Apr. 2020, p. 163677, doi:10.1016/j.ijleo.2019.163677.
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How to call function:
I=imread('cameraman.tif');
In=imnoise(I,'salt & pepper', .4);
J=AdaptiveTVL1Denoise(In);
imshow([In J]);

Cite As

Thanh, Dang N. H., et al. “Total Variation L1 Fidelity Salt-and-Pepper Denoising with Adaptive Regularization Parameter.” 2018 5th NAFOSTED Conference on Information and Computer Science (NICS), IEEE, 2018, doi:10.1109/nics.2018.8606870.

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Thanh, Dang Ngoc Hoang, et al. “Adaptive Total Variation L1 Regularization for Salt and Pepper Image Denoising.” Optik, vol. 208, Elsevier BV, Apr. 2020, p. 163677, doi:10.1016/j.ijleo.2019.163677.

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MATLAB Release Compatibility
Created with R2019a
Compatible with any release
Platform Compatibility
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Version Published Release Notes
1.0.7

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To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.