# Metrics for Noisy Images

I have a doubt. We calculate metrics such as PSNR, SNR, and MSE to prove that the proposed algorithm is better than its counterparts. To do this we need Original image (Noise free), Noisy image (we add this noise) and then Filtered image. Now we compare original and filtered output to estimate these parameters.

My question is, how to estimate these parameters when we have only the noisy image? That is in case of an ultrasound image, speckle noise occurs in the original image itself. We don't have a noisy free images in case of ultrasound. If we do as usual (as stated above), we will get poor results (PSNR,SNR & MSE) even though the subjective quality of the image is improved considerably.

Well, one way to do is to add extra noise to this noisy (original) image and apply our filter and show that the added noise has been removed efficiently. I want you to suggest any other ways to prove that my proposed algorithm is performing better than its counterparts.

Example:

              Original Image                       Filtered Image