Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1528
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorChung, KH-
dc.creatorChan, YH-
dc.date.accessioned2014-12-11T08:26:30Z-
dc.date.available2014-12-11T08:26:30Z-
dc.identifier.isbn1-4244-0481-9-
dc.identifier.urihttp://hdl.handle.net/10397/1528-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 2006 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.subjectInterpolationen_US
dc.subjectCharge coupled devicesen_US
dc.subjectCamerasen_US
dc.titleAn adaptive color filter array interpolation algorithm for digital cameraen_US
dc.typeConference Paperen_US
dcterms.abstractIn this paper, an adaptive color filter array (CFA) interpolation method is presented. By examining the edge levels and the variance of color difference along different edge directions, the missing green samples are first estimated. The missing red and blue samples are then estimated based on the interpolated green plane. This algorithm can effectively preserve the details as well as significantly reduce the color artifacts. As compared with some current state-of-art methods, the proposed algorithm provides outperformed results in terms of both subjective and objective image quality measures.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationICIP 2006 : 2006 IEEE International Conference on Image Processing : proceedings : October 8-11, 2006, Atlanta, Georgia, U.S.A., p. 2697-2700-
dcterms.issued2006-
dc.identifier.isiWOS:000245768501293-
dc.identifier.scopus2-s2.0-78649962147-
dc.relation.ispartofbookICIP 2006 : 2006 IEEE International Conference on Image Processing : proceedings : October 8-11, 2006, Atlanta, Georgia, U.S.A.-
dc.relation.conferenceIEEE International Conference on Image Processing [ICIP]-
dc.identifier.rosgroupidr32510-
dc.description.ros2006-2007 > Academic research: refereed > Refereed conference paper-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryVoR alloweden_US
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