Image correction method based on deep learning

The invention discloses an image correction method based on deep learning, and the method comprises the steps: (1), photographing images of the same field of view as much as possible through employing image collection equipment with color difference and good image collection equipment, and taking the images as a color difference image and a reference image; (2) solving offset of two times of shooting by using a template matching algorithm, cutting the two images according to the offset, and further dividing into a training set and a test set; (3) constructing an image correction model which comprises a weight prediction network and n learnable 3D lookup tables; (4) inputting an image with chromatic aberration into the network, comparing the corrected image with a reference image, and calculating a loss function; training by taking loss function minimization as a target, and updating network parameters; and (5) after model training is completed, image correction application is carried out. According to the met