Interleaving and sparse random coded aperture for lens-free visible imaging
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
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Editor
Pan J-S; Snasel V; Corchado ES; Abraham A; Wang S-LParent Title
Intelligent Data analysis and Its Applications, Volume II: Proceeding of the First Euro-China Conference on Intelligent Data Analysis and ApplicationsStart Page
251End Page
261Number of Pages
11Start Date
2014-06-13Finish Date
2014-06-15ISSN
2194-5357ISBN-13
9783319077727Location
Shenzhen, ChinaPublisher
SpringerPlace of Publication
Cham, SwitzerlandPublisher DOI
Peer Reviewed
- Yes
Open Access
- No
External Author Affiliations
University of South AustraliaEra Eligible
- Yes
Name of Conference
First Euro-China Conference on Intelligent Data Analysis and Applications (2014)Usage metrics
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