We propose a learning-based framework for acquiring a light field through a coded aperture
camera. Acquiring a light field is a challenging task due to the amount of data. To make the …

We investigate the problem of compressive acquisition of a dynamic light field. A promising
solution for compressive light field acquisition is to use a coded aperture camera, with which …

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 …

Light fields present a rich way to represent the 3D world by capturing the spatio-angular
dimensions of the visual signal. However, the popular way of capturing light fields (LF) via a …

Light field photography has been studied thoroughly in recent years. One of its drawbacks is
the need for multi-lens in the imaging. To compensate that, compressed light field …

A light field image captured by a plenoptic camera can be considered a sampling of light
distribution within a given space. However, with the limited pixel count of the sensor, the …

Light fields give relatively complete description of scenes from perspective of angles and
positions of rays. At present time, most of the computer vision algorithms take 2D images as …

Light field imaging extends the traditional photography by capturing both spatial and angular
distribution of light, which enables new capabilities, including post-capture refocusing, post …

4D light fields capture both the intensity and direction of light, enabling appealing effects
such as viewpoint change, synthetic aperture, and refocusing. However, capturing a light …

Single-shot light field cameras typically sacrifice spatial resolution to sample angular
viewpoints, multiplexing rays onto a 2D sensor array. Using compressive sensing to recover …