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 …

Compressive Sensing (CS) has emerged as a transformative technique in image
compression, offering innovative solutions to challenges in efficient signal representation …

Optical imaging and sensing systems based on diffractive elements have seen massive
advances over the last several decades. Earlier generations of diffractive optical processors …

Coded aperture is a promising approach for capturing the 4-D light field (LF), in which the 4-
D data are compressively modulated into 2-D coded measurements that are further decoded …

Typical learning-based light field reconstruction methods demand in constructing a large
receptive field by deepening their networks to capture correspondences between input …

Compressive imaging using coded apertures (CA) is a powerful technique that can be used
to recover depth, light fields, hyperspectral images and other quantities from a single …

As an image sensing instrument, light field images can supply extra angular information
compared with monocular images and have facilitated a wide range of measurement …

We propose a method for compressively acquiring a dynamic light field (a 5-D volume)
through a single-shot coded image (a 2-D measurement). We designed an imaging model …

In this paper, we tackle the problem of dense light field (LF) reconstruction from sparsely-
sampled ones with wide baselines and propose a learnable model, namely dynamic …

This paper explores the problem of reconstructing high-resolution light field (LF) images
from hybrid lenses, including a high-resolution camera surrounded by multiple low …