Are there any standard techniques I can use to denoise a 3D matrix?

I hope to apply something like simple SVD denoising methods (e.g., reconstructed the images with salient singular values) to a 3D matrix, but while the SVD denoising is widely accepted, the generalization to 3D image seems to be undeveloped. I wonder if there are any mature techniques to use to denoise 3D images.

I also found there are techniques used to denoise MRI images, but that seems to be an overkill of what I need.

Hopefully, the method comes with a python implementation.

This question has been cross-posted in Cross-Validated: Denoising 3D matrix


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