2005 IEEE International Conference on Multimedia and Expo
DOI: 10.1109/icme.2005.1521548
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An Efficient Architecture for Lifting-Based Forward and Inverse Discrete Wavelet Transform

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Cited by 9 publications
(4 citation statements)
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“…The predict module and update module can be seen in more details in Figs. 4 and 5 as is presented in [25]. As mentioned in previous sections the bi-orthogonal wavelet (5, 3) filter is used.…”
Section: Hardware Architecturementioning
confidence: 99%
“…The predict module and update module can be seen in more details in Figs. 4 and 5 as is presented in [25]. As mentioned in previous sections the bi-orthogonal wavelet (5, 3) filter is used.…”
Section: Hardware Architecturementioning
confidence: 99%
“…The WPT decomposition based on lifting scheme for (5,3) and (9,7) biorthogonal wavelets is proposed and discussed in detail by the authors in [7]. The input samples read from the dual-port input RAM are fed to both WPT and cost function architectures and thus, both the computations are carried out simultaneously.…”
Section: Wpt Architecture (First Stage)mentioning
confidence: 99%
“…The WPT decomposition based on lifting scheme for (5,3) and (9,7) biorthogonal wavelet is proposed and discussed in detail by the authors in [8][9]. The odd and even samples of the input signal are read from dual-port input RAM and the coarse and detailed coefficients are written into the input RAM in every clock cycle.…”
Section: Wpt Architecture (First Stage)mentioning
confidence: 99%