A Content Dependent Kernel for Single-Image Super-Resolution

In this paper a new single image super-resolution is proposed. The proposed method uses an interpolation using an adaptive kernel. The kernel is computed in each position according to the image contents. To evaluate the performance of the proposed method, a comparative experiment with the well-known bi-cubic super-resolution is performed. The experimental results confirm the efficiency of the proposed method.