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If wc is the result of a forward 2d wavelet transform, with wc <- FWT2_PO(x,L,qmf). then x <- IWT2_PO(wc,L,qmf) reconstructs x exactly qmf is a nice qmf, e.g. one made by MakeONFilter.
wc
wc <- FWT2_PO(x,L,qmf)
x <- IWT2_PO(wc,L,qmf)
x
qmf
MakeONFilter
IWT2_PO(wc, L, qmf)
2-d wavelet transform (n by n array, n dyadic).
coarse level.
quadrature mirror filter.
x 2-d signal reconstructed from wc.
FWT2_PO, MakeONFilter.
FWT2_PO
# NOT RUN { qmf <- MakeONFilter('Daubechies', 10) L <- 3 x <- matrix(rnorm(128^2),ncol=128) wc <- FWT2_PO(x, L, qmf) xr <- IWT2_PO(wc,L,qmf) # }
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