Embodiments of the present application provide an image distortion correction method and device and an electronic device. The method comprises: generating an edge information component corresponding to a distorted image, wherein, the distorted image is obtained by performing image processing on an original image, and the edge information component represents a distortion feature of the distorted image relative to the original image; and inputting a distorted image color component of the distorted image and the edge information component into a pre-established CNN model to perform convolutional filtering processing to obtain a distortion corrected image color component, wherein the CNN model is obtained through training based on a preset training set, and the preset training set comprises original sample images, a distorted image color component of multiple distorted images corresponding to the original sample images, and an edge information component corresponding to each distorted image. The invention uses a CNN model different from that used in the prior art to perform distortion correction processing on a distorted image.