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
|
/*
* filters.c
*
* Image filtering
*
* Copyright © 2012 Deutsches Elektronen-Synchrotron DESY,
* a research centre of the Helmholtz Association.
*
* Authors:
* 2010-2012 Thomas White <taw@physics.org>
*
* This file is part of CrystFEL.
*
* CrystFEL is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* CrystFEL 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 General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with CrystFEL. If not, see <http://www.gnu.org/licenses/>.
*
*/
#ifdef HAVE_CONFIG_H
#include <config.h>
#endif
#include <stdlib.h>
#include <stdio.h>
#include <math.h>
#include <string.h>
#include <assert.h>
#include <gsl/gsl_statistics_int.h>
#include <gsl/gsl_blas.h>
#include "image.h"
static int compare_vals(const void *ap, const void *bp)
{
const signed int a = *(signed int *)ap;
const signed int b = *(signed int *)bp;
if ( a > b ) return 1;
if ( a < b ) return -1;
return 0;
}
static void clean_panel(struct image *image, int sx, int sy)
{
int x, y;
const int s = sizeof(signed int);
for ( x=0; x<512; x++ ) {
signed int vals[128];
double m;
for ( y=0; y<128; y++ ) {
vals[y] = image->data[(x+sx)+(y+sy)*image->width];
}
qsort(&vals[0], 128, s, compare_vals);
m = gsl_stats_int_median_from_sorted_data(vals, 1, 128);
for ( y=0; y<128; y++ ) {
image->data[(x+sx)+(y+sy)*image->width] -= m;
}
}
}
/* Pre-processing to make life easier */
void filter_cm(struct image *image)
{
int px, py;
if ( (image->width != 1024) || (image->height != 1024) ) return;
for ( px=0; px<2; px++ ) {
for ( py=0; py<8; py++ ) {
clean_panel(image, 512*px, 128*py);
}
}
}
void filter_noise(struct image *image, float *old)
{
int x, y;
for ( x=0; x<image->width; x++ ) {
for ( y=0; y<image->height; y++ ) {
int dx, dy;
int val = image->data[x+image->width*y];
if ( old != NULL ) old[x+image->width*y] = val;
/* FIXME: This isn't really the right thing to do
* at the edges. */
if ( (x==0) || (x==image->width-1)
|| (y==0) || (y==image->height-1) ) {
if ( val < 0 ) val = 0;
continue;
}
for ( dx=-1; dx<=+1; dx++ ) {
for ( dy=-1; dy<=+1; dy++ ) {
int val2;
val2 = image->data[(x+dx)+image->width*(y+dy)];
if ( val2 < 0 ) val = 0;
}
}
image->data[x+image->width*y] = val;
}
}
}
/* Force the linker to bring in CBLAS to make GSL happy */
void filters_fudge_gslcblas()
{
STATUS("%p\n", cblas_sgemm);
}
|