00001 /*!@file Image/Normalize.H */ 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/Normalize.H $ 00035 // $Id: Normalize.H 8029 2007-03-02 01:28:22Z rjpeters $ 00036 // 00037 00038 #ifndef IMAGE_NORMALIZE_H_DEFINED 00039 #define IMAGE_NORMALIZE_H_DEFINED 00040 00041 template <class T> class Image; 00042 template <class T> class PixRGB; 00043 00044 /*! @name Flags for float normalization */ 00045 //@{ 00046 00047 //! Normalize a float image into the range 0..255 00048 const int FLOAT_NORM_0_255 = 1 << 0; 00049 00050 //! Display the pre-normalization float range to the user somehow 00051 /*! The mode of this display may depend on the exact FrameOstream 00052 subclass: it might display the original range on the console, or 00053 it draw the original range into the new image, or it might display 00054 the range in a GUI text box, etc. */ 00055 const int FLOAT_NORM_WITH_SCALE = 1 << 1; 00056 00057 //! Try to preserve the full floating-point precision, if possible 00058 /*! For example, in the case of raster files, this flag would be 00059 expected to cause the image to be saved in some format with 00060 greater than 8-bit precision. */ 00061 const int FLOAT_NORM_PRESERVE = 1 << 2; 00062 00063 //@} 00064 00065 //! Normalize a grayscale float image, respecting the passed flags. 00066 Image<float> normalizeFloat(const Image<float>& image, const int flags); 00067 00068 //! Normalize an rgb float image, respecting the passed flags. 00069 Image<PixRGB<float> > 00070 normalizeFloatRgb(const Image<PixRGB<float> >& image, 00071 const int flags); 00072 00073 // ###################################################################### 00074 /* So things look consistent in everyone's emacs... */ 00075 /* Local Variables: */ 00076 /* indent-tabs-mode: nil */ 00077 /* End: */ 00078 00079 #endif // IMAGE_NORMALIZE_H_DEFINED
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