Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/104180
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dc.titleSpecial class of orthonormal wavelets: Theory, implementations, and applications
dc.contributor.authorShen, Lixin
dc.contributor.authorTham, Jo Yew
dc.contributor.authorLee, Seng Luan
dc.contributor.authorTan, Hwee Huat
dc.date.accessioned2014-10-28T02:46:10Z
dc.date.available2014-10-28T02:46:10Z
dc.date.issued1999
dc.identifier.citationShen, Lixin,Tham, Jo Yew,Lee, Seng Luan,Tan, Hwee Huat (1999). Special class of orthonormal wavelets: Theory, implementations, and applications. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 3 : 1225-1228. ScholarBank@NUS Repository.
dc.identifier.issn07367791
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/104180
dc.description.abstractThis paper introduces a novel class of length-4N orthonormal scalar wavelets, and presents the theory, implementational issues, and their applications to image compression. We first give the necessary and sufficient conditions for the existence of this class. The parameterized representation of filters with different lengths are then given. Next, we derive new and efficient decomposition and reconstruction algorithms specifically tailored to this class of wavelets. We will show that the proposed discrete wavelet transformations are orthogonal and have lower computational complexity than conventional octave-bandwidth transforms using Daubechies' orthogonal filters of equal length. In addition, we also verify that symmetric boundary extensions can be applied. Finally, our image compression results further confirm that improved performance can be achieved with lower computational cost.
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentMATHEMATICS
dc.description.sourcetitleICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
dc.description.volume3
dc.description.page1225-1228
dc.description.codenIPROD
dc.identifier.isiutNOT_IN_WOS
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