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

Claim 22:
23. The computing device of claim 14,
wherein the neural network is trained iteratively, and
wherein the processor is further configured to:
feed an image with a higher ISO value from a pair of training images to an input of the neural network to generate a first output image in which denoising and demosaicing are performed jointly,
process 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,
obtain 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,
obtain at least one modified first output image by applying the additional post-processing operations to different instances of the first output image,
calculate 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
update parameters of the neural network based on the obtained gradient.