function P = compute_image_pyramid2(img, sig, nL, ratio)
%%  COMPUTE_IMAGE_PYRAMID computes nL level image pyramid of the input image IMG using filter F 
% downsample each level directly from the original images
%
%   Author: Deqing Sun, Department of Computer Science, Brown University
%   Contact: dqsun@cs.brown.edu
%   $Date: 2007-10-10 $
%   $Revision $
%
% Copyright 2007-2010, Brown University, Providence, RI. USA
% 
%                          All Rights Reserved
% 
% All commercial use of this software, whether direct or indirect, is
% strictly prohibited including, without limitation, incorporation into in
% a commercial product, use in a commercial service, or production of other
% artifacts for commercial purposes.     
%
% Permission to use, copy, modify, and distribute this software and its
% documentation for research purposes is hereby granted without fee,
% provided that the above copyright notice appears in all copies and that
% both that copyright notice and this permission notice appear in
% supporting documentation, and that the name of the author and Brown
% University not be used in advertising or publicity pertaining to
% distribution of the software without specific, written prior permission.        
%
% For commercial uses contact the Technology Venture Office of Brown University
% 
% THE AUTHOR AND BROWN UNIVERSITY DISCLAIM ALL WARRANTIES WITH REGARD TO
% THIS SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND
% FITNESS FOR ANY PARTICULAR PURPOSE.  IN NO EVENT SHALL THE AUTHOR OR
% BROWN UNIVERSITY BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL
% DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR
% PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
% ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF
% THIS SOFTWARE.        

P   = cell(nL,1);
tmp = img;
P{1}= tmp;

% Get version information (from http://www.mathworks.com/matlabcentral/fileexchange/17285)
v = sscanf (version, '%d.%d.%d') ; v = 10.^(0:-1:-(length(v)-1)) * v ;

for m = 2:nL    
    
    % Gaussian filtering     
    s   = sig / ratio^(m-2);    
    f   = fspecial('gaussian', 2*round(1.5*s) +1, s);
    tmp = imfilter(img, f, 'corr', 'symmetric', 'same');              
    
    sz  = round([size(img,1) size(img,2)]*ratio^(m-1));

    %tmp = imresize(img, sz, 'bilinear', 'Antialiasing', true);   % better than 'nearest'
    % IMRESIZE changes default algorithm since version 7.4 (R2007a)
    if v > 7.3
        tmp = imresize(tmp, sz, 'bilinear', 'Antialiasing', false);   % better than 'nearest'
    else
        tmp = imresize(tmp, sz, 'bilinear', 0); % Disable antialiasing, old version for cluster
    end;

    P{m} = tmp;
end;
