Contrast Enhancement of Luminescence Images via Point-Spread Deconvolution

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dc.contributor.authorWalters, Daniel
dc.contributor.authorLiu, An Yao
dc.contributor.authorFranklin, Evan
dc.contributor.authorMacDonald, Daniel
dc.contributor.authorMitchell, Bernhard
dc.contributor.authorTrupke, T
dc.coverage.spatialAustin USA
dc.date.accessioned2015-12-07T22:44:41Z
dc.date.createdJune 3-8 2012
dc.date.issued2012
dc.date.updated2016-02-24T11:34:22Z
dc.description.abstractWe investigate the impact of point-spread in the silicon CCD sensor of a BT Imaging LIS-R1 luminescence imaging system. It is found that an experimental definition of the point-spread function allows for a significant restoration of CCD point-spread to be achieved. A comparison with short-pass filtering is performed, demonstrating that point-spread will still have a measurable influence on image quality while reducing the luminescence signal and increasing the relative noise level. An implementation of point-spread deconvolution is presented at a multi-crystalline silicon grain boundary, illustrating a practical enhancement of resolution in a typical high-contrast scenario. The characteristics of the point-spread presented here are specific to the experimental apparatus investigated, but the procedure described is universally applicable.
dc.identifier.isbn9781467300643
dc.identifier.urihttp://hdl.handle.net/1885/25301
dc.publisherCurran Associates, Inc.
dc.relation.ispartofseriesIEEE Photovoltaic Specialists Conference (PVSC 2012)
dc.sourceProceedings of the 38th IEEE Photovoltaic Specialists Conference (PVSC)
dc.source.urihttp://www.proceedings.com/15973.html
dc.subjectKeywords: CCD sensors; Contrast Enhancement; Experimental apparatus; High contrast; Luminescence imaging; Luminescence signals; Multi-crystalline silicon; Noise levels; Point-Spread function; Deconvolution; Grain boundaries; Luminescence deconvolution; luminescence imaging; point-spread function
dc.titleContrast Enhancement of Luminescence Images via Point-Spread Deconvolution
dc.typeConference paper
local.bibliographicCitation.lastpage312
local.bibliographicCitation.startpage307
local.contributor.affiliationWalters, Daniel, College of Engineering and Computer Science, ANU
local.contributor.affiliationLiu, An Yao, College of Engineering and Computer Science, ANU
local.contributor.affiliationFranklin, Evan, College of Engineering and Computer Science, ANU
local.contributor.affiliationMacDonald, Daniel, College of Engineering and Computer Science, ANU
local.contributor.affiliationMitchell, Bernhard, University of New South Wales
local.contributor.affiliationTrupke, T, BT Imaging Pty Ltd
local.contributor.authoruidWalters, Daniel, u4131215
local.contributor.authoruidLiu, An Yao, u4393070
local.contributor.authoruidFranklin, Evan, u4038737
local.contributor.authoruidMacDonald, Daniel, u9718154
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor090605 - Photodetectors, Optical Sensors and Solar Cells
local.identifier.absseo850504 - Solar-Photovoltaic Energy
local.identifier.ariespublicationu5114172xPUB37
local.identifier.doi10.1109/PVSC.2012.6317624
local.identifier.scopusID2-s2.0-84869428532
local.type.statusPublished Version

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