Thresholding and Regularization Techniques for Image Denoising
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TRT_Filter
Thresholding and Regularization Techniques for Image Denoising
GUI requires MATLAB 2021b
Cite the paper:
Nguyen N. Hien, Dang N.H. Thanh, Ugur Erkan, Joao M.R.S. Tavares. “Image Noise Removal Method Based on Thresholding and Regularization Techniques.” IEEE Access, vol. 10, Institute of Electrical and Electronics Engineers (IEEE), 2022, pp. 71584–97, doi:10.1109/access.2022.3188315.
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% For the first time you run the app, you need to set up MEX enviroment
% by running the following command:
% install
% A mex file will be generated, usually tv_restore.mexmaci64,
% tv_restore.mexwindow64, etc.
% =============================
% If you want to test the algorithm without GUI, run the below code:
% clc;
% close all;
% I = imread('232038.jpeg');
% [In, Id] = TRTDenoise(I, .7);
% imshow([I, In, Id]);
% If you want to use GUI, run the below code:
TRTapp
Cite As
Nguyen N. Hien, Dang N.H. Thanh, Ugur Erkan, Joao M.R.S. Tavares. “Image Noise Removal Method Based on Thresholding and Regularization Techniques.” IEEE Access, vol. 10, Institute of Electrical and Electronics Engineers (IEEE), 2022, pp. 71584–97, doi:10.1109/access.2022.3188315.
General Information
- Version 1.1 (3.52 MB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.1 | See release notes for this release on GitHub: https://github.com/thanhdnh/TRT_Filter/releases/tag/v1.1 |
