Video-rate computational super-resolution and integral imaging at longwave-infrared wavelengths

TL;DR

This paper introduces a novel computational super-resolution and integral imaging system at long-wave infrared wavelengths, achieving video-rate 3D imaging and recognition with enhanced resolution using a multi-camera array.

Contribution

It presents the first implementation of super-resolved, multi-camera integral imaging at LWIR wavelengths, significantly increasing effective resolution and enabling low-cost, compact high-resolution LWIR imaging.

Findings

Four-fold increase in effective pixel count

Successful 3D imaging and recognition of obscured objects

Enables reduction in system size and cost

Abstract

We report the first computational super-resolved, multi-camera integral imaging at long-wave infrared (LWIR) wavelengths. A synchronized array of FLIR Lepton cameras was assembled, and computational super-resolution and integral-imaging reconstruction employed to generate video with light-field imaging capabilities, such as 3D imaging and recognition of partially obscured objects, while also providing a four-fold increase in effective pixel count. This approach to high-resolution imaging enables a fundamental reduction in the track length and volume of an imaging system, while also enabling use of low-cost lens materials.