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diff --git a/SD-VBS/benchmarks/texture_synthesis/src/matlabPyrTools/TUTORIALS/README b/SD-VBS/benchmarks/texture_synthesis/src/matlabPyrTools/TUTORIALS/README
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--- a/SD-VBS/benchmarks/texture_synthesis/src/matlabPyrTools/TUTORIALS/README
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@@ -1,18 +0,0 @@
-
-This directory contains some Matlab script files that serve to give
-example usage of this code, and also to explain some of the 
-representations and algorithms.
-
-The files are NOT meant to be executed from the MatLab prompt (like many 
-of the MatLab demos).  You should instead read through the comments, 
-executing the subsequent pieces of code.  This gives you a chance to 
-explore as you go...
-
-matlabPyrTools.m - Example usage of the code in the distribution.
-
-pyramids.m - An introduction to multi-scale pyramid representations, 
-        covering Laplacian, QMF/Wavelet, and Steerable pyramids.  The
-        file assumes a knowledge of linear systems, matrix algebra, 
-        and 2D Fourier transforms.
-
-more to come....
diff --git a/SD-VBS/benchmarks/texture_synthesis/src/matlabPyrTools/TUTORIALS/matlabPyrTools.m b/SD-VBS/benchmarks/texture_synthesis/src/matlabPyrTools/TUTORIALS/matlabPyrTools.m
deleted file mode 100755
index 44c27ce..0000000
--- a/SD-VBS/benchmarks/texture_synthesis/src/matlabPyrTools/TUTORIALS/matlabPyrTools.m
+++ /dev/null
@@ -1,145 +0,0 @@
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-%%% Some examples using the tools in this distribution.
-%%% Eero Simoncelli, 2/97.
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-
-%% Add directory to path (YOU'LL NEED TO ADJUST THIS):
-path('/lcv/matlab/lib/matlabPyrTools',path);
-
-%% Load an image, and downsample to a size appropriate for the machine speed.
-oim = pgmRead('einstein.pgm');
-tic; corrDn(oim,[1 1; 1 1]/4,'reflect1',[2 2]); time = toc;
-imSubSample = min(max(floor(log2(time)/2+3),0),2);
-im = blurDn(oim, imSubSample,'qmf9');
-clear oim;
-
-%%% ShowIm: 
-%% 3 types of automatic graylevel scaling, 2 types of automatic
-%% sizing, with or without title and Range information.
-help showIm
-clf; showIm(im,'auto1','auto','Al')
-clf; showIm('im','auto2')
-clf; showIm(im,'auto3',2)
-
-%%% Statistics:
-mean2(im)
-var2(im)
-skew2(im)
-kurt2(im)
-entropy2(im)
-imStats(im)
-
-%%% Synthetic images.  First pick some parameters:
-sz = 200;
-dir = 2*pi*rand(1)
-slope = 10*rand(1)-5
-int = 10*rand(1)-5;
-orig = round(1+(sz-1)*rand(2,1));
-expt = 0.8+rand(1)
-ampl = 1+5*rand(1)
-ph = 2*pi*rand(1)
-per = 20
-twidth = 7
-
-clf;
-showIm(mkRamp(sz,dir,slope,int,orig));
-showIm(mkImpulse(sz,orig,ampl));
-showIm(mkR(sz,expt,orig));
-showIm(mkAngle(sz,dir));
-showIm(mkDisc(sz,sz/4,orig,twidth));
-showIm(mkGaussian(sz,(sz/6)^2,orig,ampl));
-showIm(mkZonePlate(sz,ampl,ph));
-showIm(mkAngularSine(sz,3,ampl,ph,orig));
-showIm(mkSine(sz,per,dir,ampl,ph,orig));
-showIm(mkSquare(sz,per,dir,ampl,ph,orig,twidth));
-showIm(mkFract(sz,expt));
-
-
-%%% Point operations (lookup tables):
-[Xtbl,Ytbl] = rcosFn(20, 25, [-1 1]);
-plot(Xtbl,Ytbl);
-showIm(pointOp(mkR(100,1,[70,30]), Ytbl, Xtbl(1), Xtbl(2)-Xtbl(1), 0));
-
-
-%%% histogram Modification/matching:
-[N,X] = histo(im, 150);
-[mn, mx] = range2(im);
-matched = histoMatch(rand(size(im)), N, X);
-showIm(im + sqrt(-1)*matched);
-[Nm,Xm] = histo(matched,150);
-nextFig(2,1); 
-  subplot(1,2,1); plot(X,N); axis([mn mx 0 max(N)]);
-  subplot(1,2,2);  plot(Xm,Nm); axis([mn mx 0 max(N)]);
-nextFig(2,-1);
-
-%%% Convolution routines:
-
-%% Compare speed of convolution/downsampling routines:
-noise = rand(400); filt = rand(10);
-tic; res1 = corrDn(noise,filt(10:-1:1,10:-1:1),'reflect1',[2 2]); toc;
-tic; ires = rconv2(noise,filt); res2 = ires(1:2:400,1:2:400); toc;
-imStats(res1,res2)
-
-%% Display image and extension of left and top boundaries:
-fsz = [9 9];
-fmid = ceil((fsz+1)/2);
-imsz = [16 16];
-
-% pick one:
-im = eye(imsz);
-im = mkRamp(imsz,pi/6); 
-im = mkSquare(imsz,6,pi/6); 
-
-% pick one:
-edges='reflect1';
-edges='reflect2';
-edges='repeat';
-edges='extend';
-edges='zero';
-edges='circular';
-edges='dont-compute';
-
-filt = mkImpulse(fsz,[1 1]);
-showIm(corrDn(im,filt,edges));
-line([0,0,imsz(2),imsz(2),0]+fmid(2)-0.5, ...
-     [0,imsz(1),imsz(1),0,0]+fmid(1)-0.5);
-title(sprintf('Edges = %s',edges));
-
-%%% Multi-scale pyramids (see pyramids.m for more examples,
-%%% and explanations):
-
-%% A Laplacian pyramid:
-[pyr,pind] = buildLpyr(im);
-showLpyr(pyr,pind);
-
-res = reconLpyr(pyr, pind);             % full reconstruction
-imStats(im,res);                        % essentially perfect
-
-res = reconLpyr(pyr, pind, [2 3]);  %reconstruct 2nd and 3rd levels only  
-showIm(res);
-
-%% Wavelet/QMF pyramids:
-filt = 'qmf9'; edges = 'reflect1';
-filt = 'haar'; edges = 'qreflect2';
-filt = 'qmf12'; edges = 'qreflect2';
-filt = 'daub3'; edges = 'circular';
-
-[pyr,pind] = buildWpyr(im, 5-imSubSample, filt, edges);
-showWpyr(pyr,pind,'auto2');
-
-res = reconWpyr(pyr, pind, filt, edges);
-clf; showIm(im + i*res);
-imStats(im,res);
-
-res = reconWpyr(pyr, pind, filt, edges, 'all', [2]);  %vertical only
-clf; showIm(res);
-
-%% Steerable pyramid:
-[pyr,pind] = buildSpyr(im,4-imSubSample,'sp3Filters');  
-showSpyr(pyr,pind);
-
-%% Steerable pyramid, constructed in frequency domain:
-[pyr,pind] = buildSFpyr(im,5-imSubSample,4);  %5 orientation bands
-showSpyr(pyr,pind);
-res = reconSFpyr(pyr,pind);
-imStats(im,res);