An object of the technique of the present disclosure is to obtain a demosaic network whose robustness for noise is high. In the technique of the present disclosure, first, a data set including a set of a teacher image with noise and a pupil image with noise is generated. Then, learning of a demosaic network is performed by using an image pair of the teacher image with noise and the pupil image with noise, to both of which noise is added.