Compressive Video Acquisition with Multiple Sensors and No Reference Frames
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Institution
http://id.loc.gov/authorities/names/n79058482
Degree Level
Master's
Degree
Master of Science
Department
Department of Electrical and Computer Engineering
Specialization
Signal and Image Processing
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Examining Committee Member(s) and Their Department(s)
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Abstract
Standard large-sensor-array-based camera designs are uneconomical when imaging with exotic wavelengths that require expensive photodetectors. The single-pixel camera allows image acquisition with only one sensor; however, its compressive sampling rate is too low to reliably acquire video signals. Hence, we consider the problem of compressive video acquisition with just a few sensors. We propose a block-based framework featuring two sensor modes that does not require the periodic collection of reference frames. We use a joint-sparse signal model to exploit temporal correlations in the video signal, and we explore the behaviour of our framework under different sampling conditions.
Item Type
http://purl.org/coar/resource_type/c_46ec
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This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
Language
en