dc.contributor.authorJayachandra, Dakala
dc.contributor.authorMakur, Anamitra
dc.date.accessioned2014-05-20T02:10:22Z
dc.date.available2014-05-20T02:10:22Z
dc.date.copyright2013en_US
dc.date.issued2013
dc.identifier.citationJayachandra, D., & Makur, A. (2014). Directionlets Using In-phase Lifting For Image Representation. IEEE Transactions on Image Processing, 23(1), 240-249.en_US
dc.identifier.issn1057-7149en_US
dc.identifier.urihttp://hdl.handle.net/10220/19377
dc.description.abstractDirectionlets allow a construction of perfect reconstruction and critically sampled multidirectional anisotropic basis, yet retaining the separable filtering of standard wavelet transform. However, due to the spatially varying filtering and downsampling direction, it is forced to apply spatial segmentation and process each segment independently. Because of this independent processing of the image segments, directionlets suffer from the following two major limitations when applied to, say, image coding. First, failure to exploit the correlation across block boundaries degrades the coding performance and also induces blocking artifacts, thus making it mandatory to use de-blocking filter at low bit rates. Second, spatial scalability, i.e., minimum segment size or the number of levels of the transform, is limited due to independent processing of segments. We show that, with simple modifications in the block boundaries, we can overcome these limitations by, what we call, in-phase lifting implementation of directionlets. In the context of directionlets using in-phase lifting, we identify different possible groups of downsampling matrices that would allow the construction of a multilevel transform without forcing independent processing of segments both with and without any modifications in the segment boundary. Experimental results in image coding show objective and subjective improvements when compared with the directionlets applied independently on each image segment. As an application, using both the in-phase lifting implementation of directionlets and the adaptive directional lifting, we have constructed an adaptive directional wavelet transform, which has shown improved image coding performance over these adaptive directional wavelet transforms.en_US
dc.format.extent10 p.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesIEEE transactions on image processingen_US
dc.rights© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: DOI: http://dx.doi.org/10.1109/TIP.2013.2288912.en_US
dc.subjectDRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
dc.titleDirectionlets using in-phase lifting for image representationen_US
dc.typeJournal Article
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.identifier.doihttp://dx.doi.org/10.1109/TIP.2013.2288912
dc.description.versionAccepted versionen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record