Patent ID: 11966849
Assignee: ADOBE INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method of processing images, comprising:
obtaining an image;
selecting a set of neural networks based on an image type of the image;
determining fitness scores associated with the set of neural networks, wherein the set of neural networks includes a symmetric encoder-decoder network and an asymmetric encoder-decoder network, and wherein at least one fitness score is determined based on a processing of a noise map by at least one neural network of the set of neural networks;
selecting, from the set of neural networks, a subset of the set of neural networks based on the fitness scores of the set of neural networks;
generating a new set of neural networks, wherein the new set of neural networks are generated via cross-breeding of the selected subset of the set of neural networks;
determining new fitness scores associated with the new set of neural networks;
selecting a neural network from the new set of neural networks based on a determination that a new fitness score of the neural network satisfies a first threshold; and
processing the image using the neural network.