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Bispectral analysis and recovery of images distorted by a moving water surface

dc.contributor.authorWen, Zhiying
dc.contributor.authorLambert, Andrew
dc.contributor.authorFraser, Donald
dc.contributor.authorLi, Hongdong
dc.date.accessioned2016-05-30T02:10:12Z
dc.date.available2016-05-30T02:10:12Z
dc.date.issued2010-11-20
dc.description.abstractWe propose a new algorithm to recover a geometrically correct image of an object or scene from a set of images distorted by the wave motion of a water surface. Under mild conditions where the wavy surface normals weakly satisfy a Gaussian distribution, we demonstrate that the geometric distortion can be removed and a corrected image can be recovered. Our method is based on higher-order spectra analysis-in particular, the bispectrum, similar to its use in astronomical speckle imaging. In adapting this technique to imaging through or over a moving water surface, special care must be taken, and specifically tailored techniques are discussed in this paper. Our algorithm has been tested under two different scenarios: the refraction of light through a water surface (the underwater case) and the reflection of light from a water surface (the reflection case). Results in both cases have been encouraging.en_AU
dc.format9 pagesen_AU
dc.identifier.issn0003-6935en_AU
dc.identifier.urihttp://hdl.handle.net/1885/101769
dc.publisherOptical Society of Americaen_AU
dc.rights© 2010 Optical Society of Americaen_AU
dc.sourceApplied opticsen_AU
dc.subjectalgorithmen_AU
dc.subjectimageen_AU
dc.subjectobjecten_AU
dc.subjectsceneen_AU
dc.subjectwaveen_AU
dc.subjectmotionen_AU
dc.subjectwateren_AU
dc.subjectsurfaceen_AU
dc.subjectdistortionen_AU
dc.subjectgeometricen_AU
dc.subjectGaussianen_AU
dc.subjectdistributionen_AU
dc.subjectbispectrumen_AU
dc.subjectrefractionen_AU
dc.subjectreflectionen_AU
dc.titleBispectral analysis and recovery of images distorted by a moving water surfaceen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
dcterms.dateAccepted2010-08-16
local.bibliographicCitation.issue33en_AU
local.bibliographicCitation.lastpage6384en_AU
local.bibliographicCitation.startpage6376en_AU
local.contributor.affiliationWen, Zhiying, University of New South Wales, Australiaen_AU
local.contributor.affiliationLambert, Andrew John, University of New South Wales, ADFA, Australiaen_AU
local.contributor.affiliationFraser, Donald, University of New South Wales, Australiaen_AU
local.contributor.affiliationLi, Hongdong, College of Engineering and Computer Science, College of Engineering and Computer Science, Research School of Engineering, The Australian National Universityen_AU
local.contributor.authoruidu4056952en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor020599en_AU
local.identifier.absseo899999en_AU
local.identifier.ariespublicationu4334215xPUB451en_AU
local.identifier.citationvolume49en_AU
local.identifier.doi10.1364/AO.49.006376en_AU
local.identifier.essn1539-4522en_AU
local.publisher.urlhttp://www.osa.org/en_AU
local.type.statusPublished Versionen_AU

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