An image processing method, comprising: upscaling a feature image of an input image by an upscaling convolutional network to obtain an upscaled feature image; downscaling the upscaled feature image by a downscaling convolutional network to obtain a downscaled feature image; determining a residual image between the downscaled feature image and the feature image of the input image; upscaling the residual image between the downscaled feature image and the feature image of the input image to obtain an upscaled residual image; correcting the upscaled feature image using the upscaled residual image to obtain a corrected upscaled feature image; and generating a first super-resolution image based on the input image using the corrected upscaled feature image, wherein a resolution of the upscaled feature image is larger than a resolution of the feature image of the input image, and a resolution of the downscaled feature image is equal to the resolution of the feature image of the input image, wherein upscaling the feature image of the input image by the upscaling convolutional network to obtain the upscaled feature image comprises: upscaling the feature image of the input image n times using a plurality of upscaling convolutional networks to determine a plurality of upscaled feature images, wherein the plurality of upscaled feature images includes at least a first upscaled feature image and a nth upscaled feature image, a resolution of the nth upscaled feature image is larger than a resolution of the first upscaled feature image, and n is a positive integer greater than 1, wherein the upscaled feature image is corrected μ times using the upscaled residual image to obtain the corrected upscaled feature image, wherein μ is a positive integer greater than 2. upscaling a feature image of an input image by an upscaling convolutional network to obtain an upscaled feature image; downscaling the upscaled feature image by a downscaling convolutional network to obtain a downscaled feature image; determining a residual image between the downscaled feature image and the feature image of the input image; upscaling the residual image between the downscaled feature image and the feature image of the input image to obtain an upscaled residual image; correcting the upscaled feature image using the upscaled residual image to obtain a corrected upscaled feature image; and generating a first super-resolution image based on the input image using the corrected upscaled feature image, wherein a resolution of the upscaled feature image is larger than a resolution of the feature image of the input image, and a resolution of the downscaled feature image is equal to the resolution of the feature image of the input image, wherein upscaling the feature image of the input image by the upscaling convolutional network to obtain the upscaled feature image comprises: upscaling the feature image of the input image n times using a plurality of upscaling convolutional networks to determine a plurality of upscaled feature images, wherein the plurality of upscaled feature images includes at least a first upscaled feature image and a nth upscaled feature image, a resolution of the nth upscaled feature image is larger than a resolution of the first upscaled feature image, and n is a positive integer greater than 1, wherein the upscaled feature image is corrected μ times using the upscaled residual image to obtain the corrected upscaled feature image, wherein μ is a positive integer greater than 2. upscaling the feature image of the input image n times using a plurality of upscaling convolutional networks to determine a plurality of upscaled feature images, wherein the plurality of upscaled feature images includes at least a first upscaled feature image and a nth upscaled feature image, a resolution of the nth upscaled feature image is larger than a resolution of the first upscaled feature image, and n is a positive integer greater than 1, wherein the upscaled feature image is corrected μ times using the upscaled residual image to obtain the corrected upscaled feature image, wherein μ is a positive integer greater than 2.