Research on single image super resolution enhancement algorithm based on deep learning

Abstract

To solve the problem of low edge protection index in traditional enhancement algorithm, a single image super-resolution enhancement algorithm based on deep learning is proposed. The super-resolution feature of a single image is extracted by the sinusoidal two-dimensional transform function modulated by Gaussian function. The local Laplacian filter is used to preprocess the super-resolution of a single image, and the deep learning method is introduced to enhance the super-resolution of a single image. The experimental results show that the improved method has higher edge protection index, can effectively improve the enhancement accuracy, and has certain advantages.