Patent ID: 11941781
Assignee: SAMSUNG ELECTRONICS CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 13:
14. A computer-implemented method of restoring an image in a trained neural network comprising:
receiving a target image including a plurality of individual images included in a Compound Eye Vision (CEV) image captured by a plurality of lens elements included in a multi-lens array of a camera;
receiving pixel position information of the plurality of individual images;
applying one or more transformations to the target image based on the pixel position information in one or more layers of the trained neural network;
creating a restoration image based on the one or more transformations applied to the target image; and
outputting the restoration image,
wherein the CEV image is acquired by overlapping capturing of a same scene with different viewpoints,
wherein the CEV image that is acquired based on intensities of external rays received by a plurality of sensing elements after passing through the plurality of lens elements included in the multi-lens array of the camera, and
wherein the pixel position information comprises a first image in which a first value changes based on a distance from a reference point in polar coordinates, the reference point being a principle point of a lens that captured the target image.