Light field (LF) cameras can record scenes from multiple perspectives, and thus introduce
beneficial angular information for image super-resolution (SR). However, it is challenging to …

Light field (LF) cameras, which can record real-word scenes from multiple viewpoints in a
single shot, are widely used in 3D reconstruction, re-focusing, and virtual reality etc …

Light field (LF) images can be used to improve the performance of image super-resolution
(SR) because both angular and spatial information is available. It is challenging to …

Most existing light field (LF) disparity estimation algorithms focus on handling occlusion,
texture-less or other areas that harm LF structure to improve accuracy, while ignoring other …

Abstract Light Field Image (LFI) can simultaneously record the intensity and direction
information of light rays, and provide users with strong immersion experience. However …

Light-field images provide a spatial and angular description of the light, and they can
capture rich visual information in the natural world. In recent years, the research on light-field …

Depth estimation has significant potential in industrial applications, such as robot navigation.
Light Field (LF) technology captures both spatial and angular information of a scene …

Per-view disparity estimation for light field (LF) is critical for various applications such as light
field editing, but previous work mostly focuses on estimating disparity for the center view. In …

Faster computation of a weighted median (WM) filter is impeded by the construction of a
weighted histogram for every local window of data. Since the calculated weights vary for …

Depth estimation for light field images is crucial in light field applications such as image-
based rendering and refocusing. Previous learning-based methods com bining neural …