Due to sensor limitations, the light field (LF) images captured by the LF camera suffer from
low dynamic range and are prone to poor exposure. To solve this problem, combining multi …

Computational photography is a combination of novel optical designs and processing
methods to capture high‐dimensional visual information. As an emerged promising …

High-resolution consumer plenoptic cameras usually feature low frame rates, making them
not well-suited for capturing high-speed motion scenes. To compensate for this limitation, we …

Many Light Field (LF) angular super-resolution methods have been proposed to cope with
the LF spatial and angular resolution trade-off problem. However, most existing methods …

Depth completion, aiming to predict dense depth maps from sparse depth measurements,
plays a crucial role in many computer vision related applications. Deep learning approaches …

Recently, many methods have been proposed to improve the angular resolution of sparsely-
sampled Light Field (LF). However, the synthesized dense LF inevitably exhibits blurry …