Denoising an image using Classic restoration API

One can use the following lines to denoise a single image with default options using our Object-Oriented denoising API.

from aydin.restoration.denoise.classic import Classic

classic_restoration = Classic()
classic_restoration.train(noisy_image)
denoised_image = classic_restoration.denoise(noisy_image)

It is also easy to pass specific transforms to use before and/or after denoising. One can do the the following:

from aydin.restoration.denoise.classic import Classic

transforms = [
     {"class": RangeTransform, "kwargs": {}},
     {"class": PaddingTransform, "kwargs": {}},
 ]
classic_restoration = Classic(it_transforms=transforms)
classic_restoration.train(noisy_image)
denoised_image = classic_restoration.denoise(noisy_image)

One can also use the following lines to denoise a single image with default options using our procedural denoising endpoint.

from aydin.restoration.denoise.classic import classic_denoise

denoised_image = classic_denoise(noisy_image)