Light field (LF) imaging has become increasingly popular in recent years for capturing and
processing visual information. A significant challenge in LF processing is super-resolution …

Occlusion removal in light-field images remains a significant challenge, particularly when
dealing with large occlusions. An architecture based on end-to-end learning is proposed to …

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

The extraction of a clean background image by removing foreground occlusion holds
immense practical significance, but it also presents several challenges. Presently, the …

The popularity of mobile robots in factories, warehouses, and hospitals has raised safety
concerns about human-machine collisions, particularly in nonline-of-sight (NLoS) scenarios …

Super-resolution (SR) for the camera array-based infrared light field (IRLF) images aims to
reconstruct high-resolution sub-aperture images (SAIs) from their low-resolution …

The de-occlusion problem, involving extracting clear background images by removing
foreground occlusions, holds significant practical importance but poses considerable …

Event-based Synthetic Aperture Imaging (E-SAI) extends the SAI technique to observe
targets behind extremely dense occlusions. Existing approaches remain confined to the de …

There are three viewpoints to divide the depth from light field (DFLF) methods: light field (LF)
representation, signal processing, and learning viewpoints. In the signal processing …

The current light field occlusion removal methods are generally computationally demanding
and have insufficient effect on the global receptive field. To address these issues, we …