1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242
|
/* im_gaussnoise
*
* Copyright 1990, N. Dessipris.
*
* File written on 2/12/1986
* Author : N. Dessipris
* Updated : 6/6/1991
* 21/7/93 JC
* - im_outcheck() call added
* 1/2/95 JC
* - declaration for drand48() added
* - partialised, adapting im_gaussnoise()
* 23/10/98 JC
* - drand48() chaged to random() for portability
* 21/10/02 JC
* - tries rand() if random() is not available
* - uses RAND_MAX, d'oh
* 29/1/10
* - cleanups
* - gtkdoc
* 29/5/13
* - redo as a class
* 8/11/14
* - use g_random_double()
* 24/1/17
* - use g_random_double() once per image, use vips__random() for pixel
* values from (x, y) position ... makes pixels reproducible on
* recalculation
*/
/*
This file is part of VIPS.
VIPS is free software; you can redistribute it and/or modify
it under the terms of the GNU Lesser General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public License
along with this program; if not, write to the Free Software
Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA
02110-1301 USA
*/
/*
These files are distributed with VIPS - http://www.vips.ecs.soton.ac.uk
*/
#ifdef HAVE_CONFIG_H
#include <config.h>
#endif /*HAVE_CONFIG_H*/
#include <glib/gi18n-lib.h>
#include <stdio.h>
#include <stdlib.h>
#include <vips/vips.h>
#include "pcreate.h"
typedef struct _VipsGaussnoise {
VipsCreate parent_instance;
int width;
int height;
double mean;
double sigma;
/* Per-image seed. Each pixel is seeded by this plus the (x,
* y) coordinate.
*/
guint32 seed;
} VipsGaussnoise;
typedef VipsCreateClass VipsGaussnoiseClass;
G_DEFINE_TYPE( VipsGaussnoise, vips_gaussnoise, VIPS_TYPE_CREATE );
static int
vips_gaussnoise_gen( VipsRegion *or, void *seq, void *a, void *b,
gboolean *stop )
{
VipsGaussnoise *gaussnoise = (VipsGaussnoise *) a;
int sz = VIPS_REGION_N_ELEMENTS( or );
int y;
for( y = 0; y < or->valid.height; y++ ) {
float *q = (float *) VIPS_REGION_ADDR( or,
or->valid.left, y + or->valid.top );
int x;
for( x = 0; x < sz; x++ ) {
guint32 seed;
double sum;
int i;
seed = gaussnoise->seed;
seed = vips__random_add( seed, or->valid.left + x );
seed = vips__random_add( seed, or->valid.top + y );
sum = 0.0;
for( i = 0; i < 12; i++ ) {
seed = vips__random( seed );
sum += (double) seed / UINT_MAX;
}
q[x] = (sum - 6.0) * gaussnoise->sigma +
gaussnoise->mean;
}
}
return( 0 );
}
static int
vips_gaussnoise_build( VipsObject *object )
{
VipsCreate *create = VIPS_CREATE( object );
VipsGaussnoise *gaussnoise = (VipsGaussnoise *) object;
if( VIPS_OBJECT_CLASS( vips_gaussnoise_parent_class )->build( object ) )
return( -1 );
vips_image_init_fields( create->out,
gaussnoise->width, gaussnoise->height, 1,
VIPS_FORMAT_FLOAT, VIPS_CODING_NONE,
VIPS_INTERPRETATION_MULTIBAND, 1.0, 1.0 );
if( vips_image_pipelinev( create->out, VIPS_DEMAND_STYLE_ANY, NULL ) ||
vips_image_generate( create->out,
NULL, vips_gaussnoise_gen, NULL, gaussnoise, NULL ) )
return( -1 );
return( 0 );
}
static void
vips_gaussnoise_class_init( VipsGaussnoiseClass *class )
{
GObjectClass *gobject_class = G_OBJECT_CLASS( class );
VipsObjectClass *vobject_class = VIPS_OBJECT_CLASS( class );
VipsOperationClass *operation_class = (VipsOperationClass *) class;
gobject_class->set_property = vips_object_set_property;
gobject_class->get_property = vips_object_get_property;
vobject_class->nickname = "gaussnoise";
vobject_class->description = _( "make a gaussnoise image" );
vobject_class->build = vips_gaussnoise_build;
/* We want a new set of numbers each time.
*/
operation_class->flags |= VIPS_OPERATION_NOCACHE;
VIPS_ARG_INT( class, "width", 4,
_( "Width" ),
_( "Image width in pixels" ),
VIPS_ARGUMENT_REQUIRED_INPUT,
G_STRUCT_OFFSET( VipsGaussnoise, width ),
1, VIPS_MAX_COORD, 1 );
VIPS_ARG_INT( class, "height", 5,
_( "Height" ),
_( "Image height in pixels" ),
VIPS_ARGUMENT_REQUIRED_INPUT,
G_STRUCT_OFFSET( VipsGaussnoise, height ),
1, VIPS_MAX_COORD, 1 );
VIPS_ARG_DOUBLE( class, "mean", 6,
_( "Mean" ),
_( "Mean of pixels in generated image" ),
VIPS_ARGUMENT_OPTIONAL_INPUT,
G_STRUCT_OFFSET( VipsGaussnoise, mean ),
-10000000, 1000000, 128 );
VIPS_ARG_DOUBLE( class, "sigma", 6,
_( "Sigma" ),
_( "Standard deviation of pixels in generated image" ),
VIPS_ARGUMENT_OPTIONAL_INPUT,
G_STRUCT_OFFSET( VipsGaussnoise, sigma ),
0, 100000, 30 );
VIPS_ARG_INT( class, "seed", 7,
_( "Seed" ),
_( "Random number seed" ),
VIPS_ARGUMENT_OPTIONAL_INPUT,
G_STRUCT_OFFSET( VipsGaussnoise, seed ),
INT_MIN, INT_MAX, 0 );
}
static void
vips_gaussnoise_init( VipsGaussnoise *gaussnoise )
{
gaussnoise->mean = 128.0;
gaussnoise->sigma = 30.0;
gaussnoise->seed = UINT_MAX * g_random_double();
}
/**
* vips_gaussnoise:
* @out: (out): output image
* @width: output width
* @height: output height
* @...: %NULL-terminated list of optional named arguments
*
* Optional arguments:
*
* * @mean: mean of generated pixels
* * @sigma: standard deviation of generated pixels
*
* Make a one band float image of gaussian noise with the specified
* distribution. The noise distribution is created by averaging 12 random
* numbers with the appropriate weights.
*
* See also: vips_black(), vips_xyz(), vips_text().
*
* Returns: 0 on success, -1 on error
*/
int
vips_gaussnoise( VipsImage **out, int width, int height, ... )
{
va_list ap;
int result;
va_start( ap, height );
result = vips_call_split( "gaussnoise", ap, out, width, height );
va_end( ap );
return( result );
}
|