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

Claim 8:
9. 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 separately performing denoising and demosaicing to generate a second output image in which denoising and demosaicing are performed separately;
obtaining a loss function for the first output image and the second output image and obtaining a gradient based on the loss function; and
updating parameters of the neural network based on the obtained gradient.