A Survey on the methods of Super-resolution Image Reconstruction

Super-resolution (SR) image reconstruction is the process of combining several low resolution images into a single higher resolution image. There is a driving need for digital images of higher resolutions and quality. However, there is a limit to the spatial resolution that can be recorded by any digital device. Growing interest in super-resolution (SR) restoration of video sequences and the closely related problem of construction of SR still images from image sequences has led to the emergence of several competing SR reconstruction methodologies. In this paper, the principle of super-resolution image reconstruction and several state-of-the-art SR reconstruction methods were introduced. We critique these methods and at last, several aspects of super-resolution image reconstruction that should be studied further more were put forward.