Repo dedicated for the visual comparison of Denoising classic method like
- Gaussian filter
- Bilateral filter
- Non-Local Means filter
- Anisotropic difussion filter
- K-SVD
For the numerical comparison, we use:
- PSNR, Peak Signal noise ratio
- SSIM, Structural Similarity
- MSE, Mean Square error
For using the repo, go directly to:
K-SVD-Comparison.ipynb
There's no good documentation about using k-svd in python, I found a yspMing repo but didnt work.
That's why the k-svd images used in the jupyter notebook are from the IPOL C++ implementation. ./images
If you want to check the C++ code, under ./ksvd_src_IPOL you will find the C++ source code used in the link page.
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