Non-parametric Single Image Super Resolution

In this paper, we introduce a single image super resolution based on non-parametric local information. The basic idea of the proposed method is to use a property, which is inferred by relations between input and its lower resolution images, of an unknown high resolution image. The experimental results show the efficiency of the proposed algorithm compared to a state-of-the-art method. Besides, the proposed method is not only much faster than the compared method but also able to implement in hardware such as digital TVs and smart phones. Therefore, we believe that the proposed method can be a useful tool for super resolution-related fields.