idwt3
Single-level 3-D inverse discrete wavelet transform
Description
Examples
Create a 3-D array.
X = reshape(1:64,4,4,4); tiledlayout(2,2) for k=1:4 nexttile imagesc(X(:,:,k)) title("k = "+num2str(k)) colorbar end

Decompose X using the Haar wavelet.
wt = dwt3(X,"haar");Reconstruct X from the coefficients. Verify that the reconstructed data agrees with the original data to machine precision.
XR = idwt3(wt); dff = max(abs(X(:)-XR(:)))
dff = 3.5527e-14
Compute the reconstructed approximation, which consists of the lowpass component.
A  = idwt3(wt,"aaa");Compute the sum of all the components different from the lowpass component. Visualize the reconstruction.
D = idwt3(wt,"d"); tiledlayout(2,2) for k=1:4 nexttile imagesc(D(:,:,k)) title("k = "+num2str(k)) colorbar end

Reconstruct the component associated with lowpass in the x and z directions and highpass in the y direction.
ADA  = idwt3(wt,"ada");Input Arguments
Single-level 3-D wavelet decomposition, specified as a structure with these fields:
sizeINI | Size of the three-dimensional array
                                                    | 
mode | Name of the wavelet transform extension mode.  | 
filters | Structure with four fields:
                                                    | 
dec | 2-by-2-by-2 cell array containing the coefficients of the decomposition. 
 The
                                                    | 
Type of reconstruction, specified as a character vector or string scalar.
                        Valid values of type are these:
A group of three characters
'xyz', one per direction, with each character selected in the set {'a','d','l','h'} or in the corresponding uppercase set {'A','D','L','H'}, where'A'(or'L') is a lowpass filter and'D'(or'H') is a highpass filter.The char
'd'(or'h'or'D'or'H') gives the sum of all the components different from the lowpass component.
Data Types: char | string
Output Arguments
Reconstruction, returned as a 3-D array.
Reconstructed component of specified type, returned
                        as a 3-D array.
Version History
Introduced in R2010a
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