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Low complexity multidimensional CDF 5/3 DWT architecture

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dc.citedby6
dc.contributor.authorAl-Azawi S.en_US
dc.contributor.authorAbbas Y.A.en_US
dc.contributor.authorJidin R.en_US
dc.contributor.authorid36614945900en_US
dc.contributor.authorid56417806700en_US
dc.contributor.authorid6508169028en_US
dc.date.accessioned2023-05-16T02:45:41Z
dc.date.available2023-05-16T02:45:41Z
dc.date.issued2014
dc.description.abstractThis paper introduces an efficient low complexity multidimensional DWT architecture. The proposed architecture is based on a lifting-scheme for the Cohen-Daubechies-Feauveau (CDF) 5/3 DWT filter. It consists of low complexity identical computation and control units which can be used easily to implement 2-D and 3-D DWT architectures. The synthesis results show that the output latency is 2N+2 clock cycles, with N2+2N+2 clock cycles required for the first level 2-D CDF 5/3 DWT computation. The architecture is parameterized to tackle various images and wordlength sizes. Furthermore, the proposed architecture is implemented using a Virtex 6 Xilinx FPGA platform. The implementation results reveal that the proposed architecture can operate at up to 198 MHz operating frequency. This reduces the time for first level DWT decomposition of a 512×512-pixel image to less than 1.3 m sec. © 2014 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo6923937
dc.identifier.doi10.1109/CSNDSP.2014.6923937
dc.identifier.epage808
dc.identifier.scopus2-s2.0-84910614426
dc.identifier.spage804
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84910614426&doi=10.1109%2fCSNDSP.2014.6923937&partnerID=40&md5=79cbb587d4b79241fe2951b9064d836e
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/21845
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2014 9th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2014
dc.titleLow complexity multidimensional CDF 5/3 DWT architectureen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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