Abstract/Details

Performance analysis of an adaptive flat multi-aperture computational imaging sensor


2007 2007

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Abstract (summary)

The traditional single aperture optical sensors are constrained by their large form factor that makes them bulky. This constraint restricts their utility in many scenarios where their pervasive use would otherwise be beneficial. Existing architectures like TOMBO, with multiple apertures and optimal reconstruction algorithms, gives a flat sensor but they are not adaptive to information content in the scene. An adaptive, flat multi-aperture computational imaging sensor architecture named PANOPTES is presented. It utilizes the arrays of micro mirrors to steer the field of view of many low resolution imaging sensors called SIs. This research analyzes the implications of scaling down the optical systems, to short working distances (to achieve flat form factor), on the performance of the system in terms of its sensitivity and the spatial resolution. The radiometric performance analysis and the frequency response analysis are performed in order to determine the SNR and the modulation transfer function (MTF) of the SI, respectively. The effects of using micro-mirror arrays at the sensor pupil are investigated in terms of the degradation in the MTF. The overall performance improvement scheme based on adaptive and redundant resources is proposed. A framework to achieve an all encompassing performance metric for a multi-aperature computational imager is presented.

Indexing (details)


Subject
Electrical engineering;
Optics
Classification
0544: Electrical engineering
0752: Optics
Identifier / keyword
Applied sciences; Pure sciences
Title
Performance analysis of an adaptive flat multi-aperture computational imaging sensor
Author
Bhakta, Vikrant
Number of pages
75
Publication year
2007
Degree date
2007
School code
0210
Source
MAI 45/03M, Masters Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
Advisor
Christensen, Marc P.
University/institution
Southern Methodist University
University location
United States -- Texas
Degree
M.S.E.E.
Source type
Dissertations & Theses
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
1440436
ProQuest document ID
304822510
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
http://search.proquest.com/docview/304822510
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