Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.547696
Title: Development and analyses of hybrid imaging systems
Author: Demenikov, Mads
Awarding Body: Heriot-Watt University
Current Institution: Heriot-Watt University
Date of Award: 2010
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Abstract:
The aim of the work reported in this thesis is to analyse and develop hybrid imaging systems. Hybrid imaging systems are electro-optical imaging systems with optical elements implemented in the aperture-stop and digital post-image processing applied to the acquired image, jointly optimised for task-based imaging. Extended depth-of-field is one of the benefits that hybrid imaging systems provide. In particular, and as main objective of this thesis, we analyse and develop a hybrid and compact optical zoom lens with a single moving element and extended-depth-of-field. We show how a specific hybrid imaging technique can be used and implemented to miniaturise these zoom lenses such that they can be implemented in a mobile phone. We demonstrate that the implementation of a given phase mask and digital image restoration of the recorded images can imply two important trade-offs, namely image artifacts and noise amplification in the restored images. Image artifacts have not been given much attention in hybrid imaging systems. Despite of this, the image artifacts have probably been the main reason why no commercial products have been manufactured until now. In this thesis, we analyse for the first time the form of specific image artifacts, which imply that we are able to fully understand the physics of the artifacts. Based on the understanding, we develop a technique to remove the image artifacts. Furthermore, we develop a hybrid imaging system with adjustable noise amplification. Our original contributions to hybrid imaging techniques, which include the understanding of depth-of-field in various hybrid imaging systems (with and without sampling), understanding and development of a compact zoom lens with a single moving element, the understanding and removal of image artifacts, and development of a hybrid imaging system with adjustable noise amplification, will make the development of future and commercial hybrid imaging systems possible.
Supervisor: Harvey, Andrew Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.547696  DOI: Not available
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