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

Claim 14:
15. A non-transitory computer-readable storage medium having stored thereon instructions that, when executed by one or more processors, cause the one or more processors to:
obtain a first image;
select a set of neural networks based on an image type of the first image;
determine fitness scores of the set of neural networks, wherein at least one fitness score is determined based on processing of a noise map by at least one neural network of the set of neural networks;
determine, in response to obtaining the first image, 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 processing of a noise map by at least one neural network of the set of neural networks;
identify, from the set of neural networks and based on the fitness scores of the set of neural networks, a subset of the set of neural networks that satisfy a first threshold;
utilize a machine learning technique on the subset of the set of neural networks to obtain a new set of neural networks;
determine new fitness scores of the new set of neural networks;
identify a neural network from the new set of neural networks, wherein the neural network has a new fitness score that satisfies a second threshold; and
process, using the neural network, a second image having the image type of the first image.