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Interleaving and sparse random coded aperture for lens-free visible imaging

conference contribution
posted on 2018-12-18, 00:00 authored by Zhenglin WangZhenglin Wang, I Lee
Coded aperture has been applied to short wavelength imaging (e.g., gamma-ray), and it suffers from diffraction and interference for taking longer wavelength images. This paper investigates an interleaving and sparse random (ISR) coded aperture to reduce the impact of diffraction and interference for visible imaging. The interleaving technique treats coded aperture as a combination of many small replicas to reduce the diffraction effects and to increase the angular resolution. The sparse random coded aperture reduces the interference effects by increasing the separations between adjacent open elements. These techniques facilitate the analysis of the imaging model based only on geometric optics. Compressed sensing is applied to recover the coded image by coded aperture, and a physical prototype is developed to examine the proposed techniques. © 2014 Springer International Publishing Switzerland. All rights reserved

History

Editor

Pan J-S; Snasel V; Corchado ES; Abraham A; Wang S-L

Parent Title

Intelligent Data analysis and Its Applications, Volume II: Proceeding of the First Euro-China Conference on Intelligent Data Analysis and Applications

Start Page

251

End Page

261

Number of Pages

11

Start Date

2014-06-13

Finish Date

2014-06-15

ISSN

2194-5357

ISBN-13

9783319077727

Location

Shenzhen, China

Publisher

Springer

Place of Publication

Cham, Switzerland

Peer Reviewed

  • Yes

Open Access

  • No

External Author Affiliations

University of South Australia

Era Eligible

  • Yes

Name of Conference

First Euro-China Conference on Intelligent Data Analysis and Applications (2014)

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