[nc,ns,ca] = upwlev2(c,s,wname)
performs the single-level reconstruction of the wavelet decomposition structure
[c,s] using the wavelet specified by
wname, giving the new structure
[nc,ns], and extracts the last
approximation coefficients matrix ca.
[nc,ns,ca] = upwlev2(c,s,LoR,HiR)
performs the single-level reconstruction using the specified lowpass and highpass
wavelet reconstruction filters LoR and HiR,
respectively.
Obtain the DWT decomposition of the image down to level 2. Use the Haar wavelet.
wv = "haar";
[c,s] = wavedec2(X,2,wv);
size(c)
ans = 1×2
1 262144
s
s = 4×2
128 128
128 128
256 256
512 512
Use the appcoef2 function to extract the approximation coefficients from the wavelet decomposition structure [c,s].
a = appcoef2(c,s,wv);
size(a)
ans = 1×2
128 128
Perform the single-level reconstruction of the wavelet decomposition structure [c,s]. Also obtain the approximation matrix at level 2. Confirm the total number of coefficients has not changed, and the approximation coefficients obtained using appcoef2 and upwlev2 are equal.
Wavelet decomposition vector, specified as a real-valued vector. The
vector c contains the approximation and detail
coefficients organized by level. The bookkeeping matrix
s is used to parse c.
c and s are outputs of
wavedec2.
Data Types: double
Bookkeeping matrix, specified as an integer-valued matrix. The matrix
s contains the dimensions of the wavelet
coefficients by level and is used to parse the wavelet decomposition vector
c. c and
s are outputs of wavedec2.
Data Types: double
Analyzing wavelet, specified as a character vector or string scalar.
wname must specify the same wavelet used to obtain
the original wavelet decomposition structure
[c,s].
The wavedec2 function supports
only orthogonal and biorthogonal wavelets. See wfilters for a list of
orthogonal and biorthogonal wavelets.
Data Types: char | string
Wavelet reconstruction filters, specified as a pair of even-length
real-valued vectors. LoR is the lowpass reconstruction
filter, and HiR is the highpass reconstruction filter.
LoR and HiR must correspond to the
wavelet used to obtain the original wavelet decomposition structure
[c,s].
The lengths of LoR and HiR must be
equal. See wfilters for a list of
orthogonal and biorthogonal wavelets.
Wavelet decomposition, returned as a vector. The vector contains the
wavelet coefficients. [c,s] is a decomposition at level
n = size(s,1)-2, so
[nc,ns] is the same decomposition at level
n-1. The bookkeeping matrix ns
contains the contains the dimensions of the wavelet coefficients by level
and is used to parse the wavelet decomposition vector
nc.
Data Types: double
Bookkeeping matrix, returned as a matrix of positive integers. The
bookkeeping matrix is used to parse the coefficients in the wavelet
decomposition nc by level.
Data Types: double
Approximation matrix at level n, where
n =
size(s,1)-2.
If c and s are obtained from an
indexed image analysis or a truecolor image analysis,
ca is an
m-by-n matrix or an
m-by-n-by-3 array, respectively.
For more information, see wavedec2.
For more information on image formats, see image and imfinfo.
You can also select a web site from the following list
How to Get Best Site Performance
Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.