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I want to test burst denoising on real dataset. I've seen that network takes as an input both noisy image together with its noise_estimate calculated from read and shot noises.
Why are we sending this noise_estimate as an image in concatenation with the noisy image as an input?
If I want to test real image, how can I calculate this noise_estimate?