A method for training a convolutional neural network to reconstruct an image. The method includes forming a common loss function basing on the left and right images (IL, IR), reconstructed left and right images (I′L, I′R), disparity maps (dL, dR), reconstructed disparity maps (d′L, d′R) for the left and right images (IL, IR) and the auxiliary images (I″L, I″R) and training the neural network based on the formed loss function.