Single Image Super-Resolution
نویسندگان
چکیده
Image super-resolution is the task of obtaining a high-resolution (HR) image of a scene given low-resolution (LR) image(s) of the scene. In this project, we have focused on the task of super-resolution given a single LR image, which is usually the case. There exist many techniques in literature addressing this task, and we have considered two techniques having the essence of [1] and [2]. In first approach, HR patches are constructed using a sparse representation of the corresponding LR patch in a compact dictionary [1]. In the other approach, we exploit the repetition of local visual content within and across different scales of the given LR image[2].
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