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The algorithm performs denoising using HMRF model. The compression noise is then used to determine if the given image is filtered or not.
Image = imread('ucid00001.tif');
imwrite(Image,'jff.jpg','Quality',70);
JpgImage = imread('jff.jpg');
[denoisedimage,noise]=noise_finalone(JpgImage,70,1,10);
Finalfeat = extract_TPM(noise,'truncate',15)
Finalfeat can be used to train and test. The images can be obtained from UCID database.
Submission contains a Readme file for the usage.
Cite As
Subramanyam Venkata (2026). Spatial Filtering Detection (https://in.mathworks.com/matlabcentral/fileexchange/54182-spatial-filtering-detection), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (1.36 MB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
