view util/ksvd utils/countcover.m @ 221:c1efdd5d6250 luisf_dev

added ompbox_fast as sparse approximation solver, which calls the functions in ompbox using the fastest implementation

function cnt = countcover(sz,blocksize,stepsize)
%COUNTCOVER Covering of signal samples by blocks
%  CNT = COUNTCOVER(SZ,BLOCKSIZE,STEPSIZE) assumes a p-dimensional signal
%  of size SZ=[N1 N2 ... Np] covered by (possibly overlapping) blocks of
%  size BLOCKSIZE=[M1 M2 ... Mp]. The blocks start at position (1,1,..,1)
%  and are shifted between them by steps of size STEPSIZE=[S1 S2 ... Sp].
%  COUNTCOVER returns a matrix the same size as the signal, containing in
%  each entry the number of blocks covering that sample.
%
%  See also IM2COLSTEP, COL2IMSTEP, IM2COL.


%  Ron Rubinstein
%  Computer Science Department
%  Technion, Haifa 32000 Israel
%  ronrubin@cs
%
%  August 2008


cnt = ones(sz);
for k = 1:length(sz)
  
  % this code is modified from function NDGRID, so it computes one
  % output argument of NDGRID at a time (to conserve memory)
  ids = (1:sz(k))';
  s = sz; s(k) = [];
  ids = reshape(ids(:,ones(1,prod(s))),[length(ids) s]);
  ids = permute(ids,[2:k 1 k+1:length(sz)]);
  
  cnt = cnt .* max( min(floor((ids-1)/stepsize(k)),floor((sz(k)-blocksize(k))/stepsize(k))) - ...
                    max(ceil((ids-blocksize(k))/stepsize(k)),0) + 1 , 0 );
end