Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/254
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorCheng, KO-
dc.creatorLaw, NFB-
dc.creatorSiu, WC-
dc.date.accessioned2014-12-11T08:27:19Z-
dc.date.available2014-12-11T08:27:19Z-
dc.identifier.issn1057-7149-
dc.identifier.urihttp://hdl.handle.net/10397/254-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights© 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_US
dc.rightsThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.en_US
dc.subjectFast algorithmen_US
dc.subjectMultidirectionen_US
dc.subjectMultiscaleen_US
dc.subjectMultiscale directional filter bank (MDFB)en_US
dc.subjectTexture retrievalen_US
dc.titleA novel fast and reduced redundancy structure for multiscale directional filter banksen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage2058-
dc.identifier.epage2068-
dc.identifier.volume16-
dc.identifier.issue8-
dc.identifier.doi10.1109/TIP.2007.901212-
dcterms.abstractThe multiscale directional filter bank (MDFB) improves the radial frequency resolution of the contourlet transform by introducing an additional decomposition in the high-frequency band. The increase in frequency resolution is particularly useful for texture description because of the quasi-periodic property of textures. However, the MDFB needs an extra set of scale and directional decomposition, which is performed on the full image size. The rise in computational complexity is, thus, prominent. In this paper, we develop an efficient implementation framework for the MDFB. In the new framework, directional decomposition on the first two scales is performed prior to the scale decomposition. This allows sharing of directional decomposition among the two scales and, hence, reduces the computational complexity significantly. Based on this framework, two fast implementations of the MDFB are proposed. The first one can maintain the same flexibility in directional selectivity in the first two scales while the other has the same redundancy ratio as the contourlet transform. Experimental results show that the first and the second schemes can reduce the computational time by 33.3%-34.6% and 37.1%-37.5%, respectively, compared to the original MDFB algorithm. Meanwhile, the texture retrieval performance of the proposed algorithms is more or less the same as the original MDFB approach which outperforms the steerable pyramid and the contourlet transform approaches.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIEEE transactions on image processing, Aug. 2007, v. 16, no. 8, p.2058-2068-
dcterms.isPartOfIEEE transactions on image processing-
dcterms.issued2007-08-
dc.identifier.isiWOS:000248192300013-
dc.identifier.scopus2-s2.0-34547816028-
dc.identifier.pmid17688211-
dc.identifier.eissn1941-0042-
dc.identifier.rosgroupidr35356-
dc.description.ros2007-2008 > 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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