Sub Aperture Image

Sub-aperture images, individual views captured by the microlenses of a light field camera, are crucial for reconstructing a complete 3D scene. Current research focuses on efficiently processing these images, often employing transformer-based architectures or adapting single image super-resolution models to leverage both spatial and angular information within the light field. These advancements aim to overcome computational limitations and improve the quality of light field applications, such as super-resolution, semantic segmentation, and compression, by effectively handling the redundancy and geometric complexities inherent in this data type. The resulting improvements have significant implications for various fields, including computer vision, 3D imaging, and computational photography.