Commercial Light-Field cameras provide spatial and angular information, but its limited resolution becomes an important problem in practical use. Different from the conventional images, Light-Field images contain more information of different views that can be used for super-resolution and it makes super-resolution more credible. In this paper, we propose a interpolation based method for Light-Field image super-resolution by taking advantage of the epipolar plane image (EPI) to transfer angular information into spatial information. Firstly, we propose a color recovery framework for undetermined pixels. This framework contains three parts: we estimate the similar-color-diagonal (SCD) for known pixels, we construct a set of filters corresponding to different SCD to generate colors in order to provide a color selection set for undetermined pixel and we propose a W-shaped operator to select a more credible color for undetermined pixel. Finally we use this framework to interpolate EPI and the interpolated EPIs are used to reconstruct a high-resolution image. Experimental results demonstrate that the proposed method outperforms the state-of-art methods for Light-Field spatial super-resolution.