Function similar to imguided filter for denoising

Hi,
I understand that imguided filter compares two images, is there any other function that can be used to compare a pretrained network and a noisy image?
Thanks!

3 commentaires

What do you mean by comparing a "network" to a single image? Do you want to just compute psnr or mse of a folder of images to a single reference image using psnr() and immse()?
or do you want to use Blind/Referenceless Image Spatial Quality Evaluator (BRISQUE) no-reference image quality score using brisque()?
or do you want a Deep Learning network to predict a noise value based on values you train it with?
Thank you for your reply, I am not sure if I can ask this, can i please get your email ID to elaborate my doubt?
Sorry, no. I don't conduct free, off-line, private consulting. You can elaborate here if you need to, and get the benefit of people who know things I don't know. Despite doing image analysis for over 40 years full time, I only know a very very small fraction of everything in image analysis.

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