Patent ID: 11948279
Assignee: SAMSUNG ELECTRONICS CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 11:
12. The method of claim 1, wherein the neural network is trained iteratively, the training comprising:
feeding an image with a higher ISO value from a pair of training images to an input of the neural network for joint denoising and demosaicing to generate a first output image in which denoising and demosaicing are performed jointly;
processing another image with a lower ISO value from the pair of training images with the ISP algorithm, wherein the ISP algorithm includes performing denoising and demosaicing separately to generate a second output image in which denoising and demosaicing are performed separately;
obtaining at least one modified second output image by applying different additional post-processing operations to different instances of the second output image, a number of the modified second output image being equal to a number of the additional post-processing operations;
obtaining at least one modified first output image by applying the additional post-processing operations to different instances of the first output image;
calculating a cumulative loss function for the first output image and the second output image as a sum of individual loss functions of respective pairs of respective modifications of the second output image and the first output image to obtain a gradient of the cumulative loss function; and
updating parameters of the neural network based on the obtained gradient.