Resolution Improvement of Light Field Imaging via a Nematic Liquid Crystal Microlens with Added Multi-Walled Carbon Nanotubes.

Hui Li,Yi Yu,Yanduo Zhang,Jing Peng,Yuntao Wu

doi:10.3390/s20195557

Abstract

A relatively simple method to improve the image resolution of light field based on a liquid crystal (LC) microlens doped with multi-walled carbon nanotubes (MWCNTs) was developed and evaluated. As the nanoparticles were doped in LC, its electro-optical features could enhance, leading to a short response time compared to the pure LC microlens. With the maximum use of the proposed LC microlens, a method combining aperiodicity extraction and weighted average algorithm was adopted to realize the high-resolution light field imaging. The aperiodicity extraction method was proposed, which could effectively improve resolution of view angle image. For synthesizing the full resolution image at 0 Vrms and the extracted view angle image of light field imaging at 2.0 Vrms, the final high-resolution light field imaging could be obtained in a short time by weighted average algorithm. In this way, the common problem of low resolution in light field imaging could be solved. This proposed method was in good agreement with our experimental results. And it was also in line with the development of the trend of the smart imaging sensor combining algorithm with hardware.

Highlights

Light field imaging can be seen as generation imaging technology, which has already attracted much attentions from the whole of the world [1]
The resolution of view angle image will directly affect the accuracy of subsequent calculation in applications, such as depth estimation and stereo matching [10]
The structure of the liquid crystal (LC) microlens consists of two Indium Tin Oxide (ITO) electrodes, two glass

Summary

Introduction

Light field imaging can be seen as generation imaging technology, which has already attracted much attentions from the whole of the world [1] It is based on computational imaging theory. It can effectively solve several serious issues of the conventional imaging systems, such as defocus of scene and depth loss of target object [2,3,4]. It has great potential for adverse condition imaging, depth estimation, target focusing, and foreground removal [5,6,7,8]. The resolution of view angle image will directly affect the accuracy of subsequent calculation in applications, such as depth estimation and stereo matching [10]

Methods

Results

Conclusion