matlab/strred/matlabPyrTools/reconWpyr.m (119 lines of code) (raw):
% RES = reconWpyr(PYR, INDICES, FILT, EDGES, LEVS, BANDS)
%
% Reconstruct image from its separable orthonormal QMF/wavelet pyramid
% representation, as created by buildWpyr.
%
% PYR is a vector containing the N pyramid subbands, ordered from fine
% to coarse. INDICES is an Nx2 matrix containing the sizes of
% each subband. This is compatible with the MatLab Wavelet toolbox.
%
% FILT (optional) can be a string naming a standard filter (see
% namedFilter), or a vector which will be used for (separable)
% convolution. Default = 'qmf9'. EDGES specifies edge-handling,
% and defaults to 'reflect1' (see corrDn).
%
% LEVS (optional) should be a vector of levels to include, or the string
% 'all' (default). 1 corresponds to the finest scale. The lowpass band
% corresponds to wpyrHt(INDICES)+1.
%
% BANDS (optional) should be a vector of bands to include, or the string
% 'all' (default). 1=horizontal, 2=vertical, 3=diagonal. This is only used
% for pyramids of 2D images.
% Eero Simoncelli, 6/96.
function res = reconWpyr(pyr, ind, filt, edges, levs, bands)
if (nargin < 2)
error('First two arguments (PYR INDICES) are required');
end
%%------------------------------------------------------------
%% OPTIONAL ARGS:
if (exist('filt') ~= 1)
filt = 'qmf9';
end
if (exist('edges') ~= 1)
edges= 'reflect1';
end
if (exist('levs') ~= 1)
levs = 'all';
end
if (exist('bands') ~= 1)
bands = 'all';
end
%%------------------------------------------------------------
maxLev = 1+wpyrHt(ind);
if strcmp(levs,'all')
levs = [1:maxLev]';
else
if (any(levs > maxLev))
error(sprintf('Level numbers must be in the range [1, %d].', maxLev));
end
levs = levs(:);
end
if strcmp(bands,'all')
bands = [1:3]';
else
if (any(bands < 1) | any(bands > 3))
error('Band numbers must be in the range [1,3].');
end
bands = bands(:);
end
if isstr(filt)
filt = namedFilter(filt);
end
filt = filt(:);
hfilt = modulateFlip(filt);
%% For odd-length filters, stagger the sampling lattices:
if (mod(size(filt,1),2) == 0)
stag = 2;
else
stag = 1;
end
%% Compute size of result image: assumes critical sampling (boundaries correct)
res_sz = ind(1,:);
if (res_sz(1) == 1)
loind = 2;
res_sz(2) = sum(ind(:,2));
elseif (res_sz(2) == 1)
loind = 2;
res_sz(1) = sum(ind(:,1));
else
loind = 4;
res_sz = ind(1,:) + ind(2,:); %%horizontal + vertical bands.
hres_sz = [ind(1,1), res_sz(2)];
lres_sz = [ind(2,1), res_sz(2)];
end
%% First, recursively collapse coarser scales:
if any(levs > 1)
if (size(ind,1) > loind)
nres = reconWpyr( pyr(1+sum(prod(ind(1:loind-1,:)')):size(pyr,1)), ...
ind(loind:size(ind,1),:), filt, edges, levs-1, bands);
else
nres = pyrBand(pyr, ind, loind); % lowpass subband
end
if (res_sz(1) == 1)
res = upConv(nres, filt', edges, [1 2], [1 stag], res_sz);
elseif (res_sz(2) == 1)
res = upConv(nres, filt, edges, [2 1], [stag 1], res_sz);
else
ires = upConv(nres, filt', edges, [1 2], [1 stag], lres_sz);
res = upConv(ires, filt, edges, [2 1], [stag 1], res_sz);
end
else
res = zeros(res_sz);
end
%% Add in reconstructed bands from this level:
if any(levs == 1)
if (res_sz(1) == 1)
upConv(pyrBand(pyr,ind,1), hfilt', edges, [1 2], [1 2], res_sz, res);
elseif (res_sz(2) == 1)
upConv(pyrBand(pyr,ind,1), hfilt, edges, [2 1], [2 1], res_sz, res);
else
if any(bands == 1) % horizontal
ires = upConv(pyrBand(pyr,ind,1),filt',edges,[1 2],[1 stag],hres_sz);
upConv(ires,hfilt,edges,[2 1],[2 1],res_sz,res); %destructively modify res
end
if any(bands == 2) % vertical
ires = upConv(pyrBand(pyr,ind,2),hfilt',edges,[1 2],[1 2],lres_sz);
upConv(ires,filt,edges,[2 1],[stag 1],res_sz,res); %destructively modify res
end
if any(bands == 3) % diagonal
ires = upConv(pyrBand(pyr,ind,3),hfilt',edges,[1 2],[1 2],hres_sz);
upConv(ires,hfilt,edges,[2 1],[2 1],res_sz,res); %destructively modify res
end
end
end