Time complexity reduction on light-field super-resolution with graph-based regularization

Light field (LF) image is captured by plenoptic cameras which suffers from trade-off between spatial and angular resolutions. Numerous methods have been proposed to enhance the spatial resolution of images captured by LF cameras. Among the state-of-the-art methods, there is an approach to super resolve LF images using the graph-based regularization. However, it has a problem of taking too much time for execution. In this paper, we propose a method to simplify the process in computing graph. The experimental results show that our proposed method can reduce up to 18% of time complexity compared to the original approach while maintaining the image quality of LF images.