I’m working on image denoising task. And I have trained 2-3 models till now. All of them perform great while denoising simulated noisy images but when it comes to images from experimental setup, it fails to achieve the results.
Can anyone help me understand why this might be the case?
P.S I preprocess both the images using the exact same pipeline.