AnswerBun.com

Denoising 3D matrix

Cross Validated Asked by Haohan Wang on January 13, 2021

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.

Add your own answers!

Related Questions

Categorizing river discharge data

2  Asked on January 3, 2022 by fishchick

       

Do we update a priori distribution somehow?

1  Asked on January 3, 2022 by p-lrc

     

Proper cross validation for stacking models

2  Asked on January 1, 2022 by tomek-tarczynski

   

Iterative regression

2  Asked on January 1, 2022 by baron-yugovich

     

Ask a Question

Get help from others!

© 2022 AnswerBun.com. All rights reserved. Sites we Love: PCI Database, MenuIva, UKBizDB, Menu Kuliner, Sharing RPP, SolveDir