Abstract: Disclosed are a learning and reconstruction method for reducing noise in an image by using a neural network, and a computing device for performing same. The learning method comprises the steps of: receiving a training image composed of a plurality of frames; repeatedly training a neural network for predicting a frame of a specific point in time from the remaining frames in the training image other than the frame of the specific point in time; and using the trained neural network to repeatedly train a noise reducer for reducing noise in the frame of the specific point in time.