An image correction method is provided. The image correction method includes receiving an input image from a first camera; receiving a guide image from a second camera; generating a corrected image by performing image correction on the input image using the guide image, the image correction being performed by an image generation unit having a pre-learned image generation parameter learned using a training image; generating a quality value of the corrected image by an image evaluation unit having an pre-learned image evaluation parameter learned using the training image; and performing the image correction on the corrected image again when the quality value of the corrected image is less than a set value, and outputting the corrected image as a final image when the quality value of the corrected image is greater than the set value.