The Flutter Shutter Code Optimizer
best_snapshot_average.h
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00001 /*best_snpashot_average.h*/
00002 /*
00003 * Copyright 2013 IPOL Image Processing On Line http://www.ipol.im/
00004 *
00005 * This program is free software: you can redistribute it and/or modify
00006 * it under the terms of the GNU General Public License as published by
00007 * the Free Software Foundation, either version 3 of the License, or
00008 * (at your option) any later version.
00009 *
00010 * This program is distributed in the hope that it will be useful,
00011 * but WITHOUT ANY WARRANTY; without even the implied warranty of
00012 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
00013 * GNU General Public License for more details.
00014 *
00015 * You should have received a copy of the GNU General Public License
00016 * along with this program.  If not, see <http://www.gnu.org/licenses/>.
00017 */
00018 double best_snapshot_average(int flag_motion_model, double s,
00019                              double proba_handcrafted_0);
00020 //The output of this function is the best exposure time for a
00021 //standard camera (best snapshot on average).
00022 
00023 double best_snapshot_average_energy(double deltat, int flag_motion_model,
00024                                     double s, double proba_handcrafted_0);
00025 //Given the motion model compute the energy E_{snapshot-average} to be minimized
00026 //the noise X (multiplication) factor on average on v
00027 // (assuming a motion model) and on xi.
00028 
00029 double best_snapshot_average_integrand(double v, double deltat);
00030 //Compute the noise X on average on xi
00031 
00032 
00033 double best_snapshot_integrand(double xi, double v, double deltat);
00034 //compute \frac{1}{\sqrt \Deltat \frac{\xi v Deltat /2}{\xi v Deltat /2},
00035 //the noise X factor at xi and v and deltat
00036 
00037 
00038 double proba_motion_model(double v, double s, double proba_handcrafted_0,
00039                           int flag_motion_model);
00040 //given the motion model and its parameter s compute \rho(v).
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