Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/6564
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorHsung, TC-
dc.creatorLun, PKD-
dc.creatorNg, WWL-
dc.date.accessioned2014-12-11T08:26:49Z-
dc.date.available2014-12-11T08:26:49Z-
dc.identifier.issn1559-128X-
dc.identifier.urihttp://hdl.handle.net/10397/6564-
dc.language.isoenen_US
dc.publisherOptical Society of Americaen_US
dc.rights© 2011 Optical Society of America. This paper was published in Applied Optics and is made available as an electronic reprint with the permission of OSA. The paper can be found at the following URL on the OSA website: http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-50-21-3973. Systematic or multiple reproduction or distribution to multiple locations via electronic or other means is prohibited and is subject to penalties under law.en_US
dc.subjectAlgorithmsen_US
dc.subjectCamerasen_US
dc.subjectImage enhancementen_US
dc.subjectPartial dischargesen_US
dc.subjectSignal to noise ratioen_US
dc.subjectThree dimensional computer graphicsen_US
dc.subjectTree (mathematics)en_US
dc.subjectWavelet transformsen_US
dc.titleEfficient fringe image enhancement based on dual-tree complex wavelet transformen_US
dc.typeJournal/Magazine Articleen_US
dc.description.otherinformationAuthor name used in this publication: William W. L. Ngen_US
dc.identifier.spage3973-
dc.identifier.epage3986-
dc.identifier.volume50-
dc.identifier.issue21-
dc.identifier.doi10.1364/AO.50.003973-
dcterms.abstractIn optical phase shift profilometry (PSP), parallel fringe patterns are projected onto an object and the deformed fringes are captured using a digital camera. It is of particular interest in real time threedimensional (3D) modeling applications because it enables 3D reconstruction using just a few image captures. When using this approach in a real life environment, however, the noise in the captured images can greatly affect the quality of the reconstructed 3D model. In this paper, a new image enhancement algorithm based on the oriented two-dimenional dual-tree complex wavelet transform (DT-CWT) is proposed for denoising the captured fringe images. The proposed algorithm makes use of the special analytic property of DT-CWT to obtain a sparse representation of the fringe image. Based on the sparse representation, a new iterative regularization procedure is applied for enhancing the noisy fringe image. The new approach introduces an additional preprocessing step to improve the initial guess of the iterative algorithm. Compared with the traditional image enhancement techniques, the proposed algorithm achieves a further improvement of 7:2 dB on average in the signal-to-noise ratio (SNR). When applying the proposed algorithm to optical PSP, the new approach enables the reconstruction of 3D models with improved accuracy from 6 to 20 dB in the SNR over the traditional approaches if the fringe images are noisy.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationApplied optics, 20 July 2011, v. 50, no. 21, p. 3973-3986-
dcterms.isPartOfApplied optics-
dcterms.issued2011-07-20-
dc.identifier.isiWOS:000292970600029-
dc.identifier.scopus2-s2.0-79960637143-
dc.identifier.eissn2155-3165-
dc.identifier.rosgroupidr57288-
dc.description.ros2011-2012 > Academic research: refereed > Publication in refereed journal-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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