An Overview of Image Super-resolution Reconstruction Algorithm

Super-resolution image reconstruction refers to the reconstruction of a clear (or multiple) high-resolution image from a low-resolution degraded image (or image sequence) of the same scene. This technology has become a research hotspot in the field of image processing. However, it is difficult to break through the traditional method. In recent years, over-complete sparse representation has provided a new idea for the super-resolution reconstruction, and it has become a hot spot at present. Through analysing the algorithm of three aspects of super-resolution technology, this paper analyses its previous and latest research progress, and gives a outlook on the development of future super-resolution technology.