function [c,Ls]=dwilt2(f,g1,p3,p4,p5)
%DWILT2 2D Discrete Wilson transform
% Usage: c=dwilt2(f,g,M);
% c=dwilt2(f,g1,g2,[M1,M2]);
% c=dwilt2(f,g1,g2,[M1,M2],[L1,L2]);
% [c,Ls]=dwilt2(f,g1,g2,[M1,M2],[L1,L2]);
%
% Input parameters:
% f : Input data, matrix.
% g,g1,g2 : Window functions.
% M,M1,M2 : Number of bands.
% L1,L2 : Length of transform to do.
% Output parameters:
% c : array of coefficients.
% Ls : Original size of input matrix.
%
% DWILT2(f,g,M) calculates a two dimensional discrete Wilson transform
% of the input signal f using the window g and parameter M along each
% dimension.
%
% For each dimension, the length of the transform will be the smallest
% possible that is larger than the length of the signal along that dimension.
% f will be appropriately zero-extended.
%
% All windows must be whole-point even.
%
% DWILT2(f,g,M,L) computes a Wilson transform as above, but does
% a transform of length L along each dimension. f will be cut or
% zero-extended to length L before the transform is done.
%
% [c,Ls]=dwilt(f,g,M) or [c,Ls]=dwilt(f,g,M,L) additionally returns the
% length of the input signal f. This is handy for reconstruction.
%
% c=DWILT2(f,g1,g2,M) makes it possible to use a different window along the
% two dimensions.
%
% The parameters L, M and Ls can also be vectors of length 2. In
% this case the first element will be used for the first dimension and the
% second element will be used for the second dimension.
%
% The output c has 4 or 5 dimensions. The dimensions index the
% following properties:
%
% 1. Number of translations along 1st dimension of input.
%
% 2. Number of channels along 1st dimension of input
%
% 3. Number of translations along 2nd dimension of input.
%
% 4. Number of channels along 2nd dimension of input
%
% 5. Plane number, corresponds to 3rd dimension of input.
%
% Examples:
% ---------
%
% The following example visualize the DWILT2 coefficients of a test
% image. For clarity, only the 50 dB largest coefficients are show:
%
% c=dwilt2(cameraman,'itersine',16);
% c=reshape(c,256,256);
%
% figure(1);
% imagesc(cameraman), colormap(gray), axis('image');
%
% figure(2);
% cc=dynlimit(20*log10(abs(c)),50);
% imagesc(cc), colormap(flipud(bone)), axis('image'), colorbar;
%
% See also: dwilt, idwilt2, dgt2, wildual
%
% Url: http://ltfat.github.io/doc/gabor/dwilt2.html
% Copyright (C) 2005-2023 Peter L. Soendergaard <peter@sonderport.dk> and others.
% This file is part of LTFAT version 2.6.0
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with this program. If not, see <http://www.gnu.org/licenses/>.
% AUTHOR : Peter L. Søndergaard.
complainif_argnonotinrange(nargin,3,5,mfilename);
L=[];
if prod(size(p3))>2
% Two windows was specified.
g2=p3;
M=p4;
if nargin==5
L=p5;
end;
else
g2=g1;
M=p3;
if nargin==4
L=p4;
end;
end;
if isempty(L)
L1=[];
L2=[];
else
L1=L(1);
L2=L(2);
end;
% Expand M if necessary to two elements
M=bsxfun(@times,M,[1 1]);
Ls=size(f);
Ls=Ls(1:2);
c=dwilt(f,g1,M(1),L1);
c=dwilt(c,g2,M(2),L2,'dim',3);