diff --git a/examples/use_nlmeans.cpp b/examples/use_nlmeans.cpp
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+/*
+ #
+ #  File        : use_nlmeans.cpp
+ #                ( C++ source file )
+ #
+ #  Description : Example of use for the CImg plugin 'plugins/nlmeans.h'.
+ #                This file is a part of the CImg Library project.
+ #                ( http://cimg.eu )
+ #
+ #  Copyright  : Jerome Boulanger
+ #               ( http://www.irisa.fr/vista/Equipe/People/Jerome.Boulanger.html )
+ #
+ #  Benchmark   : (CPU intel pentium 4 2.60GHz) compiled with cimg_debug=0.
+ #                patch lambda* alpha   T    sigma  PSNR
+ #                3x3    15      9x9    3.6s   20   28.22
+ #                5x5    17     15x15  22.2s   20   27.91
+ #                7x7    42     21x21  80.0s   20   28.68
+ #
+ #  License     : CeCILL v2.0
+ #                ( http://www.cecill.info/licences/Licence_CeCILL_V2-en.html )
+ #
+ #  This software is governed by the CeCILL  license under French law and
+ #  abiding by the rules of distribution of free software.  You can  use,
+ #  modify and/ or redistribute the software under the terms of the CeCILL
+ #  license as circulated by CEA, CNRS and INRIA at the following URL
+ #  "http://www.cecill.info".
+ #
+ #  As a counterpart to the access to the source code and  rights to copy,
+ #  modify and redistribute granted by the license, users are provided only
+ #  with a limited warranty  and the software's author,  the holder of the
+ #  economic rights,  and the successive licensors  have only  limited
+ #  liability.
+ #
+ #  In this respect, the user's attention is drawn to the risks associated
+ #  with loading,  using,  modifying and/or developing or reproducing the
+ #  software by the user in light of its specific status of free software,
+ #  that may mean  that it is complicated to manipulate,  and  that  also
+ #  therefore means  that it is reserved for developers  and  experienced
+ #  professionals having in-depth computer knowledge. Users are therefore
+ #  encouraged to load and test the software's suitability as regards their
+ #  requirements in conditions enabling the security of their systems and/or
+ #  data to be ensured and,  more generally, to use and operate it in the
+ #  same conditions as regards security.
+ #
+ #  The fact that you are presently reading this means that you have had
+ #  knowledge of the CeCILL license and that you accept its terms.
+ #
+*/
+
+#define cimg_plugin "plugins/nlmeans.h"
+#include "CImg.h"
+using namespace cimg_library;
+#ifndef cimg_imagepath
+#define cimg_imagepath "img/"
+#endif
+
+// Main procedure
+//----------------
+int main(int argc,char **argv) {
+
+  // Read command line argument s
+  //-----------------------------
+  cimg_usage("Non-local means denoising algorithm.\n [1] Buades, A. Coll, B. and Morel, J.: A review of image "
+             "denoising algorithms, with a new one. Multiscale Modeling and Simulation: A SIAM Interdisciplinary "
+             "Journal 4 (2004) 490-530  \n [2] Gasser, T. Sroka,L. Jennen Steinmetz,C. Residual variance and residual "
+             "pattern nonlinear regression. Biometrika 73 (1986) 625-659 \n Build : ");
+
+  // input/output and general options
+  const char *file_i  = cimg_option("-i",cimg_imagepath "milla.bmp","Input image");
+  const char *file_o  = cimg_option("-o",(char*)NULL,"Output file");
+  const double zoom   = cimg_option("-zoom",1.0,"Image magnification");
+  const double noiseg = cimg_option("-ng",0.0,"Add gauss noise before aplying the algorithm");
+  const double noiseu = cimg_option("-nu",0.0,"Add uniform noise before applying the algorithm");
+  const double noises = cimg_option("-ns",0.0,"Add salt&pepper noise before applying the algorithm");
+  const unsigned int visu = cimg_option("-visu",1,"Visualization step (0=no visualization)");
+
+  // non local means options
+  const int patch_size = cimg_option("-p",1,"Half size of the patch (2p+1)x(2p+1)");
+  const float lambda = (float)cimg_option("-lambda",-1.0f,"Bandwidth as defined in [1] (-1 : automatic bandwidth)");
+  const double sigma = cimg_option("-sigma",-1,"Noise standard deviation (-1 : robust estimation)");
+  const int alpha = cimg_option("-alpha",3,"Neighborhood size (3)");
+  const int sampling = cimg_option("-sampling",1,"Sampling of the patch (1: slow, 2: fast)");
+
+  // Read image
+  //------------
+  CImg<> img;
+  if (file_i) {
+    img = CImg<>(file_i);
+    if (zoom>1)
+      img.resize((int)(img.width()*zoom),(int)(img.height()*zoom),(int)(img.depth()*zoom),-100,3);
+  } else throw CImgException("You need to specify at least one input image (option -i)");
+  CImg<> original=img;
+
+  // Add some noise
+  //-----------------
+  img.noise(noiseg,0).noise(noiseu,1).noise(noises,2);
+
+  // Apply the filter
+  //---------------------
+  long tic = cimg::time();
+  CImg<> dest;
+  dest = img.get_nlmeans(patch_size,lambda,alpha,sigma,sampling);
+  long tac = cimg::time();
+
+  // Save result
+  //-----------------
+  if (file_o) dest.cut(0,255.f).save(file_o);
+
+  // Display (option -visu)
+  //-----------------------
+  if (visu){
+    fprintf(stderr,"Image computed in %f s \n",(float)(tac - tic)/1000.);
+    fprintf(stderr,"The pnsr is %f \n",
+            20.*std::log10(255./std::sqrt( (dest - original).pow(2).sum()/original.size() )));
+    if (noiseg==0 && noiseu==0 && noises==0)
+      CImgList<>(original,dest,((dest - original)*=2)+=128).display("Original + Restored + Estimated Noise");
+
+    else {
+      CImgList<>(original,img,dest,((dest - img)*=2)+=128,((dest - original)*=2)+=128).
+        display("Original + Noisy + Restored + Estimated Noise + Original Noise");
+    }
+  }
+
+  return 0;
+}