modwt.2d | R Documentation |
Performs a separable two-dimensional maximal overlap discrete wavelet transform (MODWT) on a matrix of arbitrary dimensions.
modwt.2d(x, wf, J = 4, boundary = "periodic")
imodwt.2d(y)
x |
input matrix |
wf |
name of the wavelet filter to use in the decomposition |
J |
depth of the decomposition |
boundary |
only |
y |
an object of class |
See references.
List structure containing the 3J+1
sub-matrices from the
decomposition.
B. Whitcher
Liang, J. and T. W. Parks (1994) A two-dimensional translation invariant wavelet representation and its applications, Proceedings ICIP-94, Vol. 1, 66-70.
Liang, J. and T. W. Parks (1994) Image coding using translation invariant wavelet transforms with symmetric extensions, IEEE Transactions on Image Processing, 7, No. 5, 762-769.
dwt.2d
, shift.2d
.
## Xbox image
data(xbox)
xbox.modwt <- modwt.2d(xbox, "haar", 2)
## Level 1 decomposition
par(mfrow=c(2,2), pty="s")
image(xbox.modwt$LH1, col=rainbow(128), axes=FALSE, main="LH1")
image(xbox.modwt$HH1, col=rainbow(128), axes=FALSE, main="HH1")
frame()
image(xbox.modwt$HL1, col=rainbow(128), axes=FALSE, main="HL1")
## Level 2 decomposition
par(mfrow=c(2,2), pty="s")
image(xbox.modwt$LH2, col=rainbow(128), axes=FALSE, main="LH2")
image(xbox.modwt$HH2, col=rainbow(128), axes=FALSE, main="HH2")
image(xbox.modwt$LL2, col=rainbow(128), axes=FALSE, main="LL2")
image(xbox.modwt$HL2, col=rainbow(128), axes=FALSE, main="HL2")
sum((xbox - imodwt.2d(xbox.modwt))^2)
data(dau)
par(mfrow=c(1,1), pty="s")
image(dau, col=rainbow(128), axes=FALSE, main="Ingrid Daubechies")
sum(dau^2)
dau.modwt <- modwt.2d(dau, "d4", 2)
## Level 1 decomposition
par(mfrow=c(2,2), pty="s")
image(dau.modwt$LH1, col=rainbow(128), axes=FALSE, main="LH1")
image(dau.modwt$HH1, col=rainbow(128), axes=FALSE, main="HH1")
frame()
image(dau.modwt$HL1, col=rainbow(128), axes=FALSE, main="HL1")
## Level 2 decomposition
par(mfrow=c(2,2), pty="s")
image(dau.modwt$LH2, col=rainbow(128), axes=FALSE, main="LH2")
image(dau.modwt$HH2, col=rainbow(128), axes=FALSE, main="HH2")
image(dau.modwt$LL2, col=rainbow(128), axes=FALSE, main="LL2")
image(dau.modwt$HL2, col=rainbow(128), axes=FALSE, main="HL2")
sum((dau - imodwt.2d(dau.modwt))^2)
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