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

Claim 7:
8. A method for training an image processing model for removing noise from an image containing the noise, the method comprising:
acquiring 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;
calculating, as error calculation, 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 neutral network;
calculating, as stability calculation, a stability against the noise based on an error between the plurality of output images; and
training the one neutral network using a loss function based on the calculated errors and the calculated stability.