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env_c_math_ops.h
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1 /*!@file Envision/env_c_math_ops.h Fixed-point integer math versions of some of our floating-point image functions */
2 
3 // //////////////////////////////////////////////////////////////////// //
4 // The iLab Neuromorphic Vision C++ Toolkit - Copyright (C) 2000-2005 //
5 // by the University of Southern California (USC) and the iLab at USC. //
6 // See http://iLab.usc.edu for information about this project. //
7 // //////////////////////////////////////////////////////////////////// //
8 // Major portions of the iLab Neuromorphic Vision Toolkit are protected //
9 // under the U.S. patent ``Computation of Intrinsic Perceptual Saliency //
10 // in Visual Environments, and Applications'' by Christof Koch and //
11 // Laurent Itti, California Institute of Technology, 2001 (patent //
12 // pending; application number 09/912,225 filed July 23, 2001; see //
13 // http://pair.uspto.gov/cgi-bin/final/home.pl for current status). //
14 // //////////////////////////////////////////////////////////////////// //
15 // This file is part of the iLab Neuromorphic Vision C++ Toolkit. //
16 // //
17 // The iLab Neuromorphic Vision C++ Toolkit is free software; you can //
18 // redistribute it and/or modify it under the terms of the GNU General //
19 // Public License as published by the Free Software Foundation; either //
20 // version 2 of the License, or (at your option) any later version. //
21 // //
22 // The iLab Neuromorphic Vision C++ Toolkit is distributed in the hope //
23 // that it will be useful, but WITHOUT ANY WARRANTY; without even the //
24 // implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR //
25 // PURPOSE. See the GNU General Public License for more details. //
26 // //
27 // You should have received a copy of the GNU General Public License //
28 // along with the iLab Neuromorphic Vision C++ Toolkit; if not, write //
29 // to the Free Software Foundation, Inc., 59 Temple Place, Suite 330, //
30 // Boston, MA 02111-1307 USA. //
31 // //////////////////////////////////////////////////////////////////// //
32 //
33 // Primary maintainer for this file: Rob Peters <rjpeters at usc dot edu>
34 // $HeadURL: svn://isvn.usc.edu/software/invt/trunk/saliency/src/Envision/env_c_math_ops.h $
35 // $Id: env_c_math_ops.h 9830 2008-06-18 18:50:22Z lior $
36 //
37 
38 #pragma once
39 
41 
42 #ifdef __cplusplus
43 extern "C"
44 {
45 #endif
46 
48  const env_size_t w,
49  const env_size_t h,
50  intg32* dst,
51  const env_size_t w2);
52 
54  const env_size_t w,
55  const env_size_t h,
56  intg32* dst,
57  const env_size_t h2);
58 
59  /// Like env_c_lowpass_9_x_fewbits() but uses optimized filter coefficients
61  const env_size_t w,
62  const env_size_t h,
63  intg32* dst);
64 
65  /// Like env_c_lowpass_9_y_fewbits() but uses optimized filter coefficients
67  const env_size_t w,
68  const env_size_t h,
69  intg32* dst);
70 
71  //! Get min and max values
72  void env_c_get_min_max(const intg32* src, const env_size_t sz,
73  intg32* mini, intg32* maxi);
74 
75  //! Saturate values < 0
76  void env_c_inplace_rectify(intg32* dst, const env_size_t sz);
77 
78  void env_c_inplace_normalize(intg32* dst, const env_size_t sz,
79  const intg32 nmin, const intg32 nmax,
80  intg32* actualmin, intg32* actualmax,
81  intg32 rangeThresh);
82 
83  /// get the luminance with nbits of precision of the input image
84  void env_c_luminance_from_byte(const struct env_rgb_pixel* const src,
85  const env_size_t sz,
86  const env_size_t nbits,
87  intg32* const dst);
88 
89  /// result = a / val
90  void env_c_image_div_scalar(const intg32* const a,
91  const env_size_t sz,
92  intg32 val,
93  intg32* const dst);
94 
95  /// result += a / val
96  void env_c_image_div_scalar_accum(const intg32* const a,
97  const env_size_t sz,
98  intg32 val,
99  intg32* const dst);
100 
101  /// result = a - b
102  void env_c_image_minus_image(const intg32* const a,
103  const intg32* const b,
104  const env_size_t sz,
105  intg32* const dst);
106 
107 #ifdef __cplusplus
108 }
109 #endif
env_c_image_div_scalar
void env_c_image_div_scalar(const intg32 *const a, const env_size_t sz, intg32 val, intg32 *const dst)
result = a / val
Definition: env_c_math_ops.c:390
env_c_lowpass_5_x_dec_x_fewbits_optim
void env_c_lowpass_5_x_dec_x_fewbits_optim(const intg32 *src, const env_size_t w, const env_size_t h, intg32 *dst, const env_size_t w2)
Definition: env_c_math_ops.c:44
env_size_t
unsigned long env_size_t
Definition: env_types.h:71
env_c_image_minus_image
void env_c_image_minus_image(const intg32 *const a, const intg32 *const b, const env_size_t sz, intg32 *const dst)
result = a - b
Definition: env_c_math_ops.c:402
env_rgb_pixel
RGB pixel class.
Definition: env_types.h:74
env_c_lowpass_5_y_dec_y_fewbits_optim
void env_c_lowpass_5_y_dec_y_fewbits_optim(const intg32 *src, const env_size_t w, const env_size_t h, intg32 *dst, const env_size_t h2)
Definition: env_c_math_ops.c:81
env_c_get_min_max
void env_c_get_min_max(const intg32 *src, const env_size_t sz, intg32 *mini, intg32 *maxi)
Get min and max values.
Definition: env_c_math_ops.c:277
env_c_luminance_from_byte
void env_c_luminance_from_byte(const struct env_rgb_pixel *const src, const env_size_t sz, const env_size_t nbits, intg32 *const dst)
get the luminance with nbits of precision of the input image
Definition: env_c_math_ops.c:375
env_c_inplace_normalize
void env_c_inplace_normalize(intg32 *dst, const env_size_t sz, const intg32 nmin, const intg32 nmax, intg32 *actualmin, intg32 *actualmax, intg32 rangeThresh)
Definition: env_c_math_ops.c:295
env_types.h
env_c_inplace_rectify
void env_c_inplace_rectify(intg32 *dst, const env_size_t sz)
Saturate values < 0.
Definition: env_c_math_ops.c:289
env_c_lowpass_9_x_fewbits_optim
void env_c_lowpass_9_x_fewbits_optim(const intg32 *src, const env_size_t w, const env_size_t h, intg32 *dst)
Like env_c_lowpass_9_x_fewbits() but uses optimized filter coefficients.
Definition: env_c_math_ops.c:125
env_c_lowpass_9_y_fewbits_optim
void env_c_lowpass_9_y_fewbits_optim(const intg32 *src, const env_size_t w, const env_size_t h, intg32 *dst)
Like env_c_lowpass_9_y_fewbits() but uses optimized filter coefficients.
Definition: env_c_math_ops.c:190
demo.w
w
Definition: demo.py:85
intg32
ENV_INTG32_TYPE intg32
32-bit signed integer
Definition: env_types.h:52
env_c_image_div_scalar_accum
void env_c_image_div_scalar_accum(const intg32 *const a, const env_size_t sz, intg32 val, intg32 *const dst)
result += a / val
Definition: env_c_math_ops.c:396