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Miniaturised computational imaging system design for super-resolution, large field-of-view and extended depth-of-field with applications to surveillance, medical imaging, and condition-based maintenance

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The goals are, ideally, to realise high resolution (image sequence super-resolution or SR), large field-of-view (FOV) and enhanced depth-of-field (DOF). The theoretical basis for super-resolution provided by the multichannel generalised sampling theorem (GST) for multidimensional non-bandlimited signals has been developed recently (Bose and Ahuja, ICIP 2006). A new SR technique based on Moving Least Squares (MLS) has also been developed (Bose and Ahuja, IEEE Trans. IP, August 2006). Steps have now been taken to design the optical system of lenslet array/photoreceptor array plexus to achieve a large FOV. This paper updates the reader with the status of achieving the ultimate miniaturised computational imaging system that will be capable of realising simultaneously SR, large FOV and extended DOF. The relevance of these results and wavelength diversity to encompass IR imaging for condition-based maintenance (CBM) of complex systems is pointed out.
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Document Type: Research Article

Affiliations: HRB-Systems Professor of Electrical Engineering at the Department of Electrical Engineering, The Pennsylvania State University, University Park, PA 16802, USA.

Publication date: 2008-06-01

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