Skip navigation
Skip navigation

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

Wen, Zhiying; Lambert, Andrew; Fraser, Donald; Li, Hongdong

Description

We 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...[Show more]

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.identifier.issn0003-6935
dc.identifier.urihttp://hdl.handle.net/1885/101769
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.
dc.format9 pages
dc.publisherOptical Society of America
dc.rights© 2010 Optical Society of America
dc.sourceApplied optics
dc.subjectalgorithm
dc.subjectimage
dc.subjectobject
dc.subjectscene
dc.subjectwave
dc.subjectmotion
dc.subjectwater
dc.subjectsurface
dc.subjectdistortion
dc.subjectgeometric
dc.subjectGaussian
dc.subjectdistribution
dc.subjectbispectrum
dc.subjectrefraction
dc.subjectreflection
dc.titleBispectral analysis and recovery of images distorted by a moving water surface
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume49
dcterms.dateAccepted2010-08-16
dc.date.issued2010-11-20
local.identifier.absfor020599
local.identifier.ariespublicationu4334215xPUB451
local.publisher.urlhttp://www.osa.org/
local.type.statusPublished Version
local.contributor.affiliationWen, Zhiying, University of New South Wales, Australia
local.contributor.affiliationLambert, Andrew John, University of New South Wales, ADFA, Australia
local.contributor.affiliationFraser, Donald, University of New South Wales, Australia
local.contributor.affiliationLi, Hongdong, College of Engineering and Computer Science, College of Engineering and Computer Science, Research School of Engineering, The Australian National University
local.identifier.essn1539-4522
local.bibliographicCitation.issue33
local.bibliographicCitation.startpage6376
local.bibliographicCitation.lastpage6384
local.identifier.doi10.1364/AO.49.006376
local.identifier.absseo899999
dcterms.accessRightsOpen Access
CollectionsANU Research Publications

Download

There are no files associated with this item.


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  19 May 2020/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator