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Dual-tree and double-density 2-D wavelet transform

`wt = dddtree2(typetree,x,level,fdf,df)`

`wt = dddtree2(typetree,x,level,fname)`

`wt = dddtree2(typetree,x,level,fname1,fname2)`

returns
the `wt`

= dddtree2(`typetree`

,`x`

,`level`

,`fdf`

,`df`

)`typetree`

discrete wavelet transform of the
2-D input image, `x`

, down to level, `level`

.
The wavelet transform uses the decomposition (analysis) filters, `fdf`

,
for the first level and the analysis filters, `df`

,
for subsequent levels. Supported wavelet transforms are the critically
sampled DWT, double-density, real oriented dual-tree, complex oriented
dual-tree, real oriented dual-tree double-density, and complex oriented
dual-tree double-density wavelet transform. The critically sampled
DWT is a filter bank decomposition in an orthogonal or biorthogonal
basis (nonredundant). The other wavelet transforms are oversampled
filter banks with differing degrees of directional selectivity.

uses
the filters specified in `wt`

= dddtree2(`typetree`

,`x`

,`level`

,`fname1`

,`fname2`

)`fname1`

for the first
stage of the dual-tree wavelet transform and the filters specified
in `fname2`

for subsequent stages of the dual-tree
wavelet transform. Specifying different filters for stage 1 is valid
and necessary only when `typetree`

is `'realdt'`

, `'cplxdt'`

, `'realdddt'`

,
or `'cplxdddt'`

.

`dddtree`

| `dddtreecfs`

| `dtfilters`

| `idddtree2`

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