LowPass.H

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00001 /*!@file Image/LowPass.H low-pass filtering and smoothing functions */
00002 
00003 // //////////////////////////////////////////////////////////////////// //
00004 // The iLab Neuromorphic Vision C++ Toolkit - Copyright (C) 2000-2005   //
00005 // by the University of Southern California (USC) and the iLab at USC.  //
00006 // See http://iLab.usc.edu for information about this project.          //
00007 // //////////////////////////////////////////////////////////////////// //
00008 // Major portions of the iLab Neuromorphic Vision Toolkit are protected //
00009 // under the U.S. patent ``Computation of Intrinsic Perceptual Saliency //
00010 // in Visual Environments, and Applications'' by Christof Koch and      //
00011 // Laurent Itti, California Institute of Technology, 2001 (patent       //
00012 // pending; application number 09/912,225 filed July 23, 2001; see      //
00013 // http://pair.uspto.gov/cgi-bin/final/home.pl for current status).     //
00014 // //////////////////////////////////////////////////////////////////// //
00015 // This file is part of the iLab Neuromorphic Vision C++ Toolkit.       //
00016 //                                                                      //
00017 // The iLab Neuromorphic Vision C++ Toolkit is free software; you can   //
00018 // redistribute it and/or modify it under the terms of the GNU General  //
00019 // Public License as published by the Free Software Foundation; either  //
00020 // version 2 of the License, or (at your option) any later version.     //
00021 //                                                                      //
00022 // The iLab Neuromorphic Vision C++ Toolkit is distributed in the hope  //
00023 // that it will be useful, but WITHOUT ANY WARRANTY; without even the   //
00024 // implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR      //
00025 // PURPOSE.  See the GNU General Public License for more details.       //
00026 //                                                                      //
00027 // You should have received a copy of the GNU General Public License    //
00028 // along with the iLab Neuromorphic Vision C++ Toolkit; if not, write   //
00029 // to the Free Software Foundation, Inc., 59 Temple Place, Suite 330,   //
00030 // Boston, MA 02111-1307 USA.                                           //
00031 // //////////////////////////////////////////////////////////////////// //
00032 //
00033 // Primary maintainer for this file: Rob Peters <rjpeters at usc dot edu>
00034 // $HeadURL: svn://isvn.usc.edu/software/invt/trunk/saliency/src/Image/LowPass.H $
00035 // $Id: LowPass.H 8633 2007-07-26 00:00:28Z rjpeters $
00036 //
00037 
00038 #ifndef IMAGE_LOWPASS_H_DEFINED
00039 #define IMAGE_LOWPASS_H_DEFINED
00040 
00041 #include "Util/Promotions.H"
00042 
00043 class Dims;
00044 template <class T> class Image;
00045 
00046 //! Low-pass filter, coeff * [0.25 0.5 0.25], applied separably in X and Y
00047 template <class T_or_RGB>
00048 Image<typename promote_trait<T_or_RGB, float>::TP>
00049 lowPass3(const Image<T_or_RGB>& src,
00050          const bool go_x = true, const bool go_y = true);
00051 
00052 //! Low-pass filter, coeff * [0.25 0.5 0.25], applied in X
00053 template <class T_or_RGB>
00054 Image<typename promote_trait<T_or_RGB, float>::TP>
00055 lowPass3x(const Image<T_or_RGB>& src);
00056 
00057 //! Low-pass filter, coeff * [0.25 0.5 0.25], applied in Y
00058 template <class T_or_RGB>
00059 Image<typename promote_trait<T_or_RGB, float>::TP>
00060 lowPass3y(const Image<T_or_RGB>& src);
00061 
00062 //! Low-pass filter, Anderson's 5x5 separable
00063 template <class T_or_RGB>
00064 Image<typename promote_trait<T_or_RGB, float>::TP>
00065 lowPass5(const Image<T_or_RGB>& src,
00066          const bool go_x = true, const bool go_y = true);
00067 
00068 //! Low-pass filter, Anderson's 5x5 separable, applied in X
00069 template <class T_or_RGB>
00070 Image<typename promote_trait<T_or_RGB, float>::TP>
00071 lowPass5x(const Image<T_or_RGB>& src);
00072 
00073 //! Low-pass filter, Anderson's 5x5 separable, applied in Y
00074 template <class T_or_RGB>
00075 Image<typename promote_trait<T_or_RGB, float>::TP>
00076 lowPass5y(const Image<T_or_RGB>& src);
00077 
00078 //! Low-pass filter, Anderson's 5x5 separable, applied in X, and X decimated by factor
00079 template <class T_or_RGB>
00080 Image<typename promote_trait<T_or_RGB, float>::TP>
00081 lowPass5xDecX(const Image<T_or_RGB>& src, const int factor = 2);
00082 
00083 //! Low-pass filter, Anderson's 5x5 separable, applied in Y, and Y decimated by factor
00084 template <class T_or_RGB>
00085 Image<typename promote_trait<T_or_RGB, float>::TP>
00086 lowPass5yDecY(const Image<T_or_RGB>& src, const int factor = 2);
00087 
00088 //! Low-pass filter, 9x9 separable
00089 template <class T_or_RGB>
00090 Image<typename promote_trait<T_or_RGB, float>::TP>
00091 lowPass9(const Image<T_or_RGB>& src,
00092          const bool go_x = true, const bool go_y = true);
00093 
00094 //! Low-pass filter, 9x9 separable, applied in X
00095 template <class T_or_RGB>
00096 Image<typename promote_trait<T_or_RGB, float>::TP>
00097 lowPass9x(const Image<T_or_RGB>& src);
00098 
00099 //! Low-pass filter, 9x9 separable, applied in Y
00100 template <class T_or_RGB>
00101 Image<typename promote_trait<T_or_RGB, float>::TP>
00102 lowPass9y(const Image<T_or_RGB>& src);
00103 
00104 //! Low-pass filter, NxN separable
00105 /*! Just forwards to lowPass3/lowPass5/lowPass9, but allows the filter
00106     width to be selected at runtime. */
00107 template <class T_or_RGB>
00108 Image<typename promote_trait<T_or_RGB, float>::TP>
00109 lowPass(const int N, const Image<T_or_RGB>& src,
00110         const bool go_x = true, const bool go_y = true);
00111 
00112 //! Low-pass filter, NxN separable, applied in X
00113 /*! Just forwards to lowPass3x/lowPass5x/lowPass9x, but allows the filter
00114     width to be selected at runtime. */
00115 template <class T_or_RGB>
00116 Image<typename promote_trait<T_or_RGB, float>::TP>
00117 lowPassX(const int N, const Image<T_or_RGB>& src);
00118 
00119 //! Low-pass filter, NxN separable, applied in Y
00120 /*! Just forwards to lowPass3y/lowPass5y/lowPass9y, but allows the filter
00121     width to be selected at runtime. */
00122 template <class T_or_RGB>
00123 Image<typename promote_trait<T_or_RGB, float>::TP>
00124 lowPassY(const int N, const Image<T_or_RGB>& src);
00125 
00126 //! Apply a 3-pt median filter in the x direction
00127 template <class T_or_RGB>
00128 Image<T_or_RGB> median3x(const Image<T_or_RGB>& in);
00129 
00130 //! Apply a 3-pt median filter in the y direction
00131 template <class T_or_RGB>
00132 Image<T_or_RGB> median3y(const Image<T_or_RGB>& in);
00133 
00134 //! Apply a 3-pt median filter in the x and/or y directions;
00135 template <class T_or_RGB>
00136 Image<T_or_RGB> median3(const Image<T_or_RGB>& in,
00137                         bool go_x = true, bool go_y = true);
00138 
00139 //! convolve with a separable 2D gaussian
00140 template <class T_or_RGB>
00141 Image<typename promote_trait<T_or_RGB, float>::TP>
00142 convGauss(const Image<T_or_RGB>& src, const float sigmaX, const float sigmaY,
00143           const float threshperc);
00144 
00145 // ######################################################################
00146 /* So things look consistent in everyone's emacs... */
00147 /* Local Variables: */
00148 /* mode: c++ */
00149 /* indent-tabs-mode: nil */
00150 /* End: */
00151 
00152 #endif // IMAGE_LOWPASS_H_DEFINED
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