Patent ID: 11941862
Assignee: CANON KABUSHIKI KAISHA
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. An apparatus configured to train an image processing model for removing noise from an image containing the noise, the apparatus comprising:
at least one processor;
a memory coupled to the at least one processor storing instructions that, when executed by the at least one processor, cause the at least one processor to function as:
an acquisition unit configured to acquire a low-noise image and a plurality of high-noise images having more noise than the low-noise image, the low-noise image being training data for training the image processing model comprising one neural network, the plurality of high-noise images corresponding to a scene in the low-noise image and each having different noise patterns;
an error calculation unit configured to calculate each of errors between a plurality of output images and the low-noise image, each of the plurality of output images being acquired by inputting a different one of the plurality of high-noise images to the one neural network;
a stability calculation unit configured to calculate a stability against the noise based on an error between the plurality of output images; and
a training unit configured to train the one neutral network using a loss function based on the calculated errors and the calculated stability.