GENERATIVE ADVERSARIAL NETWORKS FOR LOCAL NOISE REMOVAL FROM AN IMAGE

摘要

An information processing method includes: obtaining noise region estimation information output from a first converter (30) by a first image including a noise region being input to the first converter (30); obtaining a second image, on which noise region removal processing has been performed, output from a second converter (60) by the noise region estimation information and the first image being input to the second converter (60); generating a fourth image including the estimated noise region by using the noise region estimation information and a third image including no noise region and a scene corresponding to the first image; training the first converter (30) by using machine learning in which the first image is reference data and the fourth image is conversion data; and training the second converter (60) by using machine learning in which the third image is reference data and the second image is conversion data.