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dc.contributor.authorLiew, AWC
dc.contributor.authorLaw, NF
dc.date.accessioned2007-06-13
dc.date.accessioned2014-06-23T03:56:51Z
dc.date.accessioned2017-03-02T01:01:07Z
dc.date.available2017-03-02T01:01:07Z
dc.date.issued2000
dc.date.modified2014-06-23T03:56:51Z
dc.identifier.issn1350-245X
dc.identifier.doi10.1049/ip-vis:20000206
dc.identifier.urihttp://hdl.handle.net/10072/60741
dc.description.abstractWavelet transform modulus maxima can be used to characterise sharp variations such as edges and contours in an image. The authors analyse the a priori constraints present in the wavelet transform modulus maxima representation. A new projection-based algorithm which enforces all the a prior constraints in the representation is proposed. Quadratic programming is used to obtain a sequence which satisfies the maxima constraint. Thus realising the projection onto the maxima constraint space. To save computation, an approximate method to obtain a sequence which satisfies the maxima constraint is given. The new algorithm is shown to provide better solution than the original reconstruction algorithm of Mallat and Zhong (1992). The authors also propose a simple method to accelerate the algorithm. The acceleration is achieved by the incorporation of a momentum term which exploits the high correlation between the difference images between two consecutive iterations. The simulation results show that the proposed algorithm gives good reconstruction and the simple acceleration method can significantly improve the convergence rate
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherThe Institution of Electrical Engineers
dc.publisher.placeUK
dc.publisher.urihttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=848580
dc.relation.ispartofpagefrom176
dc.relation.ispartofpageto184
dc.relation.ispartofissue2
dc.relation.ispartofjournalIEE Proceedings-Vision, Image and Signal Processing
dc.relation.ispartofvolume147
dc.subject.fieldofresearchArtificial Intelligence and Image Processing
dc.subject.fieldofresearchElectrical and Electronic Engineering
dc.subject.fieldofresearchCognitive Sciences
dc.subject.fieldofresearchcode0801
dc.subject.fieldofresearchcode0906
dc.subject.fieldofresearchcode1702
dc.titleReconstruction From 2-D Wavelet Transform Modulus Maxima Using Projection
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codec1x
gro.facultyFaculty of Science, Environment, Engineering and Technology
gro.hasfulltextNo Full Text
gro.griffith.authorLiew, Alan Wee-Chung


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