Based on the four-dimensional representation of the two-plane model, the light field camera captures spatial and angular information of the three-dimensional scene simultaneously at the expense of image spatial resolution. To improve the spatial resolution of light field images, a two-way guided updating network for light field image super-resolution is built in this work. In the front of the network, different forms of image arrays are used as inputs, and the residual series and parallel convolution are constructed to realize the decoupling of spatial and angular information. Aiming at the decoupled spatial information and angular information, a two-way guide updating module is designed, which adopts step-by-step enhancement, fusion, and re-enhancement methods to complete the interactive guidance iterative update of spatial and angular information. Finally, the step-by-step updated angular information is sent to the simplified residual feature distillation module to realize data reconstruction. Many experimental results have confirmed that our proposed method achieves state-of-the-art performance while effectively controlling complexity.