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[[Image:Wiki figures mod.001.png|framed|none|The figure depicts 3-D separable DWT procedure by applying 1-D DWT for each dimension and splitting the data into chunks to obtain wavelets for different subbands]]
Applying the 1-D DWT analysis filterbank in dimension {{math|N1}}, it is now split into two chunks of size {{math| {{frac|N1|2}} × N2 × N3}}. Applying 1-D DWT in {{math|N2}} dimension, each of these chunks is split into two more chunks of {{math|{{frac|N1|2}} × {{frac|N2|2}} × N3}}. This repeated in 3-D gives a total of 8 chunks of size {{math| {{frac|N1|2}} × {{frac|N2|2}} × {{frac|N3|2}}}}. The first chunk is passed via a low pass filter in each of these dimensions and the second one via high-pass. <ref>{{cite journal|last1=Cheng-Wu|first1=Po|last2=Gee-Chen|first2=Liang|title=An efficient architecture for two-dimensional discrete wavelet transform|journal=IEEE Transactions on Circuits and Systems for Video technology|date=7 August 2002|volume=11|issue=4|pages=536-545|doi=10.1109/76.915359|url=http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=915359&tag=1}}</ref>
[[Image:Filterbank mod try 2.001.png|framed|none|The figure shows the 3-D analysis filterbank for 3-D separable DWT]]
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