This paper reviews self-powered medical devices integrated with advanced energy
harvesting technologies. This article aims to explain the advantages of integrating self …

Light field (LF) cameras record both intensity and directions of light rays, and encode 3D
scenes into 4D LF images. Recently, many convolutional neural networks (CNNs) have …

Exploiting spatial-angular correlation is crucial to light field (LF) image super-resolution
(SR), but is highly challenging due to its non-local property caused by the disparities among …

Recently, numerous algorithms have been developed to tackle the problem of light field
super-resolution (LFSR), ie, super-resolving low-resolution light fields to gain high …

Light field (LF) image super-resolution (SR) aims at reconstructing high-resolution LF
images from their low-resolution counterparts. Although CNN-based methods have …

Light field cameras capture both the spatial and the angular properties of light rays in space.
Due to its property, one can compute the depth from light fields in uncontrolled lighting …

Light field cameras are considered to have many potential applications since angular and
spatial information is captured simultaneously. However, the limited spatial resolution has …

Compared to 2D imaging data, the 4D light field (LF) data retains richer scene's structure
information, which can significantly improve the computer's perception capability, including …

Light field (LF) cameras record both intensity and directions of light rays, and capture scenes
from a number of viewpoints. Both information within each perspective (ie, spatial …

Light field (LF) images acquired by hand-held devices usually suffer from low spatial
resolution as the limited sampling resources have to be shared with the angular dimension …