Training methods of a denoising model and image denoising methods and apparatuses

Abstract

The present disclosure relates to a training method of a denoising model, an image denoising method and device. The training method includes: obtaining a plurality of to-be-denoised sample images; for each of the to-be-denoised sample images, obtaining a priori knowledge information corresponding to noise in the to-be-denoised sample image; for each of the to-be-denoised sample images, constructing a model training sample based on the to-be-denoised sample image and the a priori knowledge information; training a denoising model based on the model training samples to obtain a target denoising model for removing noise in image.

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