Research on Super-resolution Reconstruction Optimization Method Based on Deep Learning

摘要

In order to reconstruct low-resolution images into high-resolution images and compensate for the loss of information between high-resolution images and low-resolution images, this paper presents an effective super-resolution reconstruction optimization method, which analyzes the advantages and disadvantages of existing super-resolution constructing methods, and throws out problems that need to be resolved, and designs reasonable solutions.