Main Content


Reconstruct single branch from 2-D wavelet coefficients


    wrcoef2 is a two-dimensional wavelet analysis function. wrcoef2 reconstructs the coefficients of an image.

    x = wrcoef2(type,c,s,wname) returns the matrix of reconstructed coefficients of type type based on the wavelet decomposition structure [c,s] of an image (see wavedec2 for more information) using the wavelet specified by wname. The coefficients at the maximum decomposition level are reconstructed. The size of x is equal to the size of the original image.

    x = wrcoef2(type,c,s,LoR,HiR) uses the lowpass and highpass reconstruction filters LoR and HiR, respectively.


    x = wrcoef2(___,n) reconstructs the coefficients at level n using any of the previous syntaxes.


    collapse all

    Save the current extension mode. Load an image.

    origMode = dwtmode("status","nodisp");
    load woman
    colormap gray

    Use dwtmode to change the extension mode to zero-padding. Obtain the 2-level wavelet decomposition of the image using the sym5 wavelet.

    [c,s] = wavedec2(X,2,"sym5");

    Reconstruct the approximation coefficients at levels 1 and 2. Display the results.

    a1 = wrcoef2("a",c,s,"sym5",1);
    a2 = wrcoef2("a",c,s,"sym5",2);
    title("Level 1")
    title("Level 2")
    colormap gray

    Reconstruct the horizontal, vertical, and diagonal detail coefficients at level 2.

    h2 = wrcoef2("h",c,s,"sym5",2);
    v2 = wrcoef2("v",c,s,"sym5",2);
    d2 = wrcoef2("d",c,s,"sym5",2);

    Confirm all the reconstructions are the same size as the original image.

    sX = size(X);
    sa1 = size(a1);
    sa2 = size(a2);
    sh2 = size(h2);
    sv2 = size(v2);
    sd2 = size(d2);
    ans = 6×2
       256   256
       256   256
       256   256
       256   256
       256   256
       256   256

    Restore the extension mode to the original setting.


    Input Arguments

    collapse all

    Coefficients to reconstruct, specified as follows:

    • "a" — Approximation coefficients

    • "h" — Horizontal detail coefficients

    • "v" — Vertical detail coefficients

    • "d" — Diagonal detail coefficients

    Data Types: string | char

    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. See 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. See wavedec2.

    Data Types: double

    Wavelet, specified as a character vector or string scalar. wrcoef2 supports only Type 1 (orthogonal) or Type 2 (biorthogonal) wavelets. See wfilters for a list of orthogonal and biorthogonal wavelets.

    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. The lengths of LoR and HiR must be equal. See wfilters for additional information.

    Data Types: double

    Coefficients level, specified as an integer.

    • When type is "a", n must be an integer such that 0 ≤ nsize(s,1)-2.

    • When type is "h", "v", or "d", n must be an integer such that 1 ≤ nsize(s,1)-2.

    Data Types: double

    Output Arguments

    collapse all

    Reconstructed coefficients, returned as a matrix. The size of x is equal to the size of the original image

    Data Types: double

    Version History

    Introduced before R2006a