PROBLEM TO BE SOLVED: To easily increase the number of images that can be used for learning. An image restoration device as an example of the present disclosure is an image acquisition unit that acquires a mask image generated by masking at least a predetermined region of an article image in which an article is captured by a mask region. Then, using a restorer trained in advance by machine learning to output the restored image restored from the mask image in response to the input of the mask image so as to reproduce the article image in a pseudo manner, the image acquisition unit It includes an image output unit that outputs a restored image corresponding to the acquired mask image. [Selection diagram] Fig. 1
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