TRT Filter for Impulse Noise Removal

版本 1.1 (3.5 MB) 作者: Dang N. H. Thanh
Thresholding and Regularization Techniques for Image Denoising
43.0 次下载
更新时间 2022/7/5

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.

MATLAB 版本兼容性
创建方式 R2021b
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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

要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库
要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库