TRT Filter for Impulse Noise Removal
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
引用格式
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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Start Hunting!版本 | 已发布 | 发行说明 | |
---|---|---|---|
1.1 | See release notes for this release on GitHub: https://github.com/thanhdnh/TRT_Filter/releases/tag/v1.1 |