Image super-resolution reconstruction method and system

The invention discloses an image super-resolution reconstruction method and system, and the method comprises the steps: carrying out the preprocessing of an original image, and obtaining a preprocessed image; performing feature extraction on the preprocessed image to obtain a first feature extraction image; performing nonlinear mapping on the first feature extraction image to obtain a first convolution feature image, and generating a second feature image according to the first convolution feature image; and performing aggregation reconstruction on the first feature extraction image and the second feature image to obtain a second convolution feature image, and generating a super-resolution image according to the convolution feature image. According to the method, a high-resolution image is obtained by using an end-to-end image super-resolution multilayer network structure, classic degradation models of different scale factors, fuzzy kernels and noise levels are processed, the advantages of a modeling-based met