1. A learning apparatus comprising: a motion-amount-setting section that sets a motion amount; a motion-direction-setting section that sets a motion direction; a student-image-generating section that adds a motion blur to a teacher image based on the motion amount and the motion direction, to generate a student image; a prediction-tap-extracting section that extracts, in order to extract a main term that mainly contains component of the target pixel in a moving object that encounters a motion blur in the student image, at least a pixel value of pixel in the student image whose space position roughly agrees with space position of the target pixel in the teacher image; and a coefficient-generating section that generates a processing coefficient for predicting the target pixel in the teacher image from the pixel value of the pixel extracted by the prediction-tap-extracting section at least for each motion direction based on a relationship between plural pairs of the pixel value of the pixel extracted by the prediction-tap-extracting section and the target pixel in the teacher image, wherein the student-image-generating section generates student images by adding no motion blur to the teacher image, in a specific ratio.