CODEWITHSUNDEEP
image-processingcomputer-visionnoise-reduction
user3796320
user3796320

Reputation: 327

Image Processing: PSNR and MSE alternative method?

Assuming random Gaussian noise on an image, how would one tell which denoise method is the best quantitatively?

A lot of papers uses MSE & PSNR. However, lower MSE coulde also mean that not enough noise has been removed, thus I think that the MSE and PSNR aren't really the best way to tell.

Upvotes: 0

Views: 708

Answers (1)

RyanL
RyanL

Reputation: 468

A table of the PSNR of the original image and the image after the various denoise algorithms have been applied should be a good method to quantitatively analyze the results of the various methods. You could also calculate a deltaPSNR between the result and the noisy image.

If you have an original image without noise, you could calculate the PSNR of this image. Then you could add noise to the image, and again calculate the PSNR. Finally, after denoising, determine the PSNR again. This final PSNR can be compared to the original image to see how much like the original each result is.

Upvotes: 1

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