Optical image processing method, machine learning method, trained model, machine learning preprocessing method, optical image processing module, optical image processing program, and optical image processing system

Abstract

An optical image processing module includes an image acquisition unit that acquires an optical image obtained by capturing an image of light from a target object, a noise map generation unit that derives a standard deviation of noise values from a pixel value of each pixel in the optical image on the basis of relationship data indicating a relationship between the pixel value and the standard deviation of noise values obtained by evaluating spread of the noise value and generates a noise map that is data in which the derived standard deviation of noise values is associated with each pixel in the optical image, and a processing unit that inputs the optical image and the noise map to a trained model built in advance through machine learning and executes image processing of removing noise from the optical image.