Linux ip-172-26-7-228 5.4.0-1103-aws #111~18.04.1-Ubuntu SMP Tue May 23 20:04:10 UTC 2023 x86_64
Apache
: 172.26.7.228 | : 18.216.32.251
Cant Read [ /etc/named.conf ]
5.6.40-24+ubuntu18.04.1+deb.sury.org+1
www-data
Terminal
AUTO ROOT
Adminer
Backdoor Destroyer
Linux Exploit
Lock Shell
Lock File
Create User
CREATE RDP
PHP Mailer
BACKCONNECT
HASH IDENTIFIER
README
+ Create Folder
+ Create File
/
var /
www /
html /
stph /
libgd-gd-2.2.3 /
src /
[ HOME SHELL ]
Name
Size
Permission
Action
msinttypes
[ DIR ]
drwxr-xr-x
CMakeLists.txt
3.23
KB
-rwxr-xr-x
COPYING
2.25
KB
-rwxr-xr-x
Makefile.am
1.96
KB
-rwxr-xr-x
annotate.c
4.38
KB
-rwxr-xr-x
bdftogd
3.91
KB
-rwxr-xr-x
bmp.h
2.39
KB
-rwxr-xr-x
circletexttest.c
1.49
KB
-rwxr-xr-x
config.h.cmake
3.58
KB
-rwxr-xr-x
demoin.png
9.79
KB
-rwxr-xr-x
depcomp
11.84
KB
-rwxr-xr-x
entities.h
4.81
KB
-rwxr-xr-x
entities.html
41.11
KB
-rwxr-xr-x
entities.tcl
1.35
KB
-rwxr-xr-x
fontconfigtest.c
1.34
KB
-rwxr-xr-x
fontsizetest.c
2.3
KB
-rwxr-xr-x
fontwheeltest.c
3.23
KB
-rwxr-xr-x
gd.c
89.58
KB
-rwxr-xr-x
gd.h
50.14
KB
-rwxr-xr-x
gd2copypal.c
1.25
KB
-rwxr-xr-x
gd2time.c
1.19
KB
-rwxr-xr-x
gd2togif.c
939
B
-rwxr-xr-x
gd2topng.c
1.38
KB
-rwxr-xr-x
gd_bmp.c
25.78
KB
-rwxr-xr-x
gd_color.c
798
B
-rwxr-xr-x
gd_color.h
189
B
-rwxr-xr-x
gd_color_map.c
22.71
KB
-rwxr-xr-x
gd_color_map.h
478
B
-rwxr-xr-x
gd_color_map_test.c
570
B
-rwxr-xr-x
gd_color_match.c
1.49
KB
-rwxr-xr-x
gd_crop.c
5.75
KB
-rwxr-xr-x
gd_errors.h
1.47
KB
-rwxr-xr-x
gd_filename.c
6.41
KB
-rwxr-xr-x
gd_filter.c
21
KB
-rwxr-xr-x
gd_gd.c
7.1
KB
-rwxr-xr-x
gd_gd2.c
25.85
KB
-rwxr-xr-x
gd_gif_in.c
14.79
KB
-rwxr-xr-x
gd_gif_out.c
41
KB
-rwxr-xr-x
gd_intern.h
1.95
KB
-rwxr-xr-x
gd_interpolation.c
59.19
KB
-rwxr-xr-x
gd_io.c
3.42
KB
-rwxr-xr-x
gd_io.h
3.05
KB
-rwxr-xr-x
gd_io_dp.c
7.95
KB
-rwxr-xr-x
gd_io_file.c
2.41
KB
-rwxr-xr-x
gd_io_ss.c
2.66
KB
-rwxr-xr-x
gd_io_stream.cxx
4.11
KB
-rwxr-xr-x
gd_io_stream.h
3.63
KB
-rwxr-xr-x
gd_jpeg.c
34.5
KB
-rwxr-xr-x
gd_matrix.c
7.93
KB
-rwxr-xr-x
gd_nnquant.c
15
KB
-rwxr-xr-x
gd_nnquant.h
527
B
-rwxr-xr-x
gd_png.c
30.58
KB
-rwxr-xr-x
gd_rotate.c
12.25
KB
-rwxr-xr-x
gd_security.c
692
B
-rwxr-xr-x
gd_ss.c
1.27
KB
-rwxr-xr-x
gd_tga.c
8.61
KB
-rwxr-xr-x
gd_tga.h
1.66
KB
-rwxr-xr-x
gd_tiff.c
25.85
KB
-rwxr-xr-x
gd_topal.c
55.18
KB
-rwxr-xr-x
gd_transform.c
1.48
KB
-rwxr-xr-x
gd_version.c
827
B
-rwxr-xr-x
gd_wbmp.c
6.54
KB
-rwxr-xr-x
gd_webp.c
4.25
KB
-rwxr-xr-x
gd_xbm.c
5.68
KB
-rwxr-xr-x
gdcache.c
5.14
KB
-rwxr-xr-x
gdcache.h
2.83
KB
-rwxr-xr-x
gdcmpgif.c
1.86
KB
-rwxr-xr-x
gddemo.c
5.42
KB
-rwxr-xr-x
gdfontg.c
109.84
KB
-rwxr-xr-x
gdfontg.h
553
B
-rwxr-xr-x
gdfontl.c
104.83
KB
-rwxr-xr-x
gdfontl.h
551
B
-rwxr-xr-x
gdfontmb.c
76.33
KB
-rwxr-xr-x
gdfontmb.h
519
B
-rwxr-xr-x
gdfonts.c
66.55
KB
-rwxr-xr-x
gdfonts.h
515
B
-rwxr-xr-x
gdfontt.c
36.82
KB
-rwxr-xr-x
gdfontt.h
546
B
-rwxr-xr-x
gdft.c
49.23
KB
-rwxr-xr-x
gdfx.c
13.52
KB
-rwxr-xr-x
gdfx.h
2.34
KB
-rwxr-xr-x
gdhelpers.c
1.51
KB
-rwxr-xr-x
gdhelpers.h
2.31
KB
-rwxr-xr-x
gdkanji.c
11.97
KB
-rwxr-xr-x
gdparttopng.c
1.23
KB
-rwxr-xr-x
gdpp.cxx
6.43
KB
-rwxr-xr-x
gdpp.h
50.94
KB
-rwxr-xr-x
gdtables.c
4.67
KB
-rwxr-xr-x
gdtest.c
10.27
KB
-rwxr-xr-x
gdtestft.c
5.54
KB
-rwxr-xr-x
gdtopng.c
1.01
KB
-rwxr-xr-x
gdxpm.c
4.64
KB
-rwxr-xr-x
gifanimtest.c
682
B
-rwxr-xr-x
giftogd2.c
1.12
KB
-rwxr-xr-x
jisx0208.h
73.71
KB
-rwxr-xr-x
pngtogd.c
1.03
KB
-rwxr-xr-x
pngtogd2.c
1.23
KB
-rwxr-xr-x
snprintf.c
585
B
-rwxr-xr-x
testac.c
4.14
KB
-rwxr-xr-x
testtr.c
1.33
KB
-rwxr-xr-x
wbmp.c
6.18
KB
-rwxr-xr-x
wbmp.h
1.2
KB
-rwxr-xr-x
webpng.c
6.44
KB
-rwxr-xr-x
Delete
Unzip
Zip
${this.title}
Close
Code Editor : gd_filter.c
#ifdef HAVE_CONFIG_H #include "config.h" #endif #include "gd.h" #include "gdhelpers.h" #include "gd_intern.h" #ifdef _WIN32 # include <windows.h> #else # include <unistd.h> #endif #include <stdlib.h> #include <time.h> #include <math.h> #undef NDEBUG /* Comment out this line to enable asserts. * TODO: This logic really belongs in cmake and configure. */ #define NDEBUG 1 #include <assert.h> typedef int (BGD_STDCALL *FuncPtr)(gdImagePtr, int, int); #define GET_PIXEL_FUNCTION(src)(src->trueColor?gdImageGetTrueColorPixel:gdImageGetPixel) #define MIN(a,b) ((a)<(b)?(a):(b)) #define MAX(a,b) ((a)<(b)?(b):(a)) #ifdef _WIN32 # define GD_SCATTER_SEED() (unsigned int)(time(0) * GetCurrentProcessId()) #else # define GD_SCATTER_SEED() (unsigned int)(time(0) * getpid()) #endif /* Function: gdImageScatter */ BGD_DECLARE(int) gdImageScatter(gdImagePtr im, int sub, int plus) { gdScatter s; s.sub = sub; s.plus = plus; s.num_colors = 0; s.seed = GD_SCATTER_SEED(); return gdImageScatterEx(im, &s); } /* Function: gdImageScatterColor */ BGD_DECLARE(int) gdImageScatterColor(gdImagePtr im, int sub, int plus, int colors[], unsigned int num_colors) { gdScatter s; s.sub = sub; s.plus = plus; s.colors = colors; s.num_colors = num_colors; s.seed = GD_SCATTER_SEED(); return gdImageScatterEx(im, &s); } /* Function: gdImageScatterEx */ BGD_DECLARE(int) gdImageScatterEx(gdImagePtr im, gdScatterPtr scatter) { register int x, y; int dest_x, dest_y; int pxl, new_pxl; unsigned int n; int sub = scatter->sub, plus = scatter->plus; if (plus == 0 && sub == 0) { return 1; } else if (sub >= plus) { return 0; } (void)srand(scatter->seed); if (scatter->num_colors) { for (y = 0; y < im->sy; y++) { for (x = 0; x < im->sx; x++) { dest_x = (int) (x + ((rand() % (plus - sub)) + sub)); dest_y = (int) (y + ((rand() % (plus - sub)) + sub)); if (!gdImageBoundsSafe(im, dest_x, dest_y)) { continue; } pxl = gdImageGetPixel(im, x, y); new_pxl = gdImageGetPixel(im, dest_x, dest_y); for (n = 0; n < scatter->num_colors; n++) { if (pxl == scatter->colors[n]) { gdImageSetPixel(im, dest_x, dest_y, pxl); gdImageSetPixel(im, x, y, new_pxl); } } } } } else { for (y = 0; y < im->sy; y++) { for (x = 0; x < im->sx; x++) { dest_x = (int) (x + ((rand() % (plus - sub)) + sub)); dest_y = (int) (y + ((rand() % (plus - sub)) + sub)); if (!gdImageBoundsSafe(im, dest_x, dest_y)) { continue; } pxl = gdImageGetPixel(im, x, y); new_pxl = gdImageGetPixel(im, dest_x, dest_y); gdImageSetPixel(im, dest_x, dest_y, pxl); gdImageSetPixel(im, x, y, new_pxl); } } } return 1; } /* Function: gdImagePixelate */ BGD_DECLARE(int) gdImagePixelate(gdImagePtr im, int block_size, const unsigned int mode) { int x, y; if (block_size <= 0) { return 0; } else if (block_size == 1) { return 1; } switch (mode) { case GD_PIXELATE_UPPERLEFT: for (y = 0; y < im->sy; y += block_size) { for (x = 0; x < im->sx; x += block_size) { if (gdImageBoundsSafe(im, x, y)) { int c = gdImageGetPixel(im, x, y); gdImageFilledRectangle(im, x, y, x + block_size - 1, y + block_size - 1, c); } } } break; case GD_PIXELATE_AVERAGE: for (y = 0; y < im->sy; y += block_size) { for (x = 0; x < im->sx; x += block_size) { int a, r, g, b, c; int total; int cx, cy; a = r = g = b = c = total = 0; /* sampling */ for (cy = 0; cy < block_size; cy++) { for (cx = 0; cx < block_size; cx++) { if (!gdImageBoundsSafe(im, x + cx, y + cy)) { continue; } c = gdImageGetPixel(im, x + cx, y + cy); a += gdImageAlpha(im, c); r += gdImageRed(im, c); g += gdImageGreen(im, c); b += gdImageBlue(im, c); total++; } } /* drawing */ if (total > 0) { c = gdImageColorResolveAlpha(im, r / total, g / total, b / total, a / total); gdImageFilledRectangle(im, x, y, x + block_size - 1, y + block_size - 1, c); } } } break; default: return 0; } return 1; } /* Function: gdImageNegate Invert src image. */ BGD_DECLARE(int) gdImageNegate(gdImagePtr src) { int x, y; int r,g,b,a; int new_pxl, pxl; FuncPtr f; if (src==NULL) { return 0; } f = GET_PIXEL_FUNCTION(src); for (y=0; y<src->sy; ++y) { for (x=0; x<src->sx; ++x) { pxl = f (src, x, y); r = gdImageRed(src, pxl); g = gdImageGreen(src, pxl); b = gdImageBlue(src, pxl); a = gdImageAlpha(src, pxl); new_pxl = gdImageColorAllocateAlpha(src, 255-r, 255-g, 255-b, a); if (new_pxl == -1) { new_pxl = gdImageColorClosestAlpha(src, 255-r, 255-g, 255-b, a); } gdImageSetPixel (src, x, y, new_pxl); } } return 1; } /* Function: gdImageGrayScale Convert the image src to a grayscale image. */ BGD_DECLARE(int) gdImageGrayScale(gdImagePtr src) { int x, y; int r,g,b,a; int new_pxl, pxl; FuncPtr f; if (src==NULL) { return 0; } f = GET_PIXEL_FUNCTION(src); for (y=0; y<src->sy; ++y) { for (x=0; x<src->sx; ++x) { pxl = f (src, x, y); r = gdImageRed(src, pxl); g = gdImageGreen(src, pxl); b = gdImageBlue(src, pxl); a = gdImageAlpha(src, pxl); r = g = b = (int) (.299 * r + .587 * g + .114 * b); new_pxl = gdImageColorAllocateAlpha(src, r, g, b, a); if (new_pxl == -1) { new_pxl = gdImageColorClosestAlpha(src, r, g, b, a); } gdImageSetPixel (src, x, y, new_pxl); } } return 1; } /* Function: gdImageBrightness Set the brightness level <level> for the image src. */ BGD_DECLARE(int) gdImageBrightness(gdImagePtr src, int brightness) { int x, y; int r,g,b,a; int new_pxl, pxl; FuncPtr f; if (src==NULL || (brightness < -255 || brightness > 255)) { return 0; } if (brightness==0) { return 1; } f = GET_PIXEL_FUNCTION(src); for (y=0; y<src->sy; ++y) { for (x=0; x<src->sx; ++x) { pxl = f (src, x, y); r = gdImageRed(src, pxl); g = gdImageGreen(src, pxl); b = gdImageBlue(src, pxl); a = gdImageAlpha(src, pxl); r = r + brightness; g = g + brightness; b = b + brightness; r = (r > 255)? 255 : ((r < 0)? 0:r); g = (g > 255)? 255 : ((g < 0)? 0:g); b = (b > 255)? 255 : ((b < 0)? 0:b); new_pxl = gdImageColorAllocateAlpha(src, (int)r, (int)g, (int)b, a); if (new_pxl == -1) { new_pxl = gdImageColorClosestAlpha(src, (int)r, (int)g, (int)b, a); } gdImageSetPixel (src, x, y, new_pxl); } } return 1; } /* Function: gdImageContrast */ BGD_DECLARE(int) gdImageContrast(gdImagePtr src, double contrast) { int x, y; int r,g,b,a; double rf,gf,bf; int new_pxl, pxl; FuncPtr f; if (src==NULL) { return 0; } f = GET_PIXEL_FUNCTION(src); contrast = (double)(100.0-contrast)/100.0; contrast = contrast*contrast; for (y=0; y<src->sy; ++y) { for (x=0; x<src->sx; ++x) { pxl = f(src, x, y); r = gdImageRed(src, pxl); g = gdImageGreen(src, pxl); b = gdImageBlue(src, pxl); a = gdImageAlpha(src, pxl); rf = (double)r/255.0; rf = rf-0.5; rf = rf*contrast; rf = rf+0.5; rf = rf*255.0; bf = (double)b/255.0; bf = bf-0.5; bf = bf*contrast; bf = bf+0.5; bf = bf*255.0; gf = (double)g/255.0; gf = gf-0.5; gf = gf*contrast; gf = gf+0.5; gf = gf*255.0; rf = (rf > 255.0)? 255.0 : ((rf < 0.0)? 0.0:rf); gf = (gf > 255.0)? 255.0 : ((gf < 0.0)? 0.0:gf); bf = (bf > 255.0)? 255.0 : ((bf < 0.0)? 0.0:bf); new_pxl = gdImageColorAllocateAlpha(src, (int)rf, (int)gf, (int)bf, a); if (new_pxl == -1) { new_pxl = gdImageColorClosestAlpha(src, (int)rf, (int)gf, (int)bf, a); } gdImageSetPixel (src, x, y, new_pxl); } } return 1; } /* Function: gdImageColor */ BGD_DECLARE(int) gdImageColor(gdImagePtr src, const int red, const int green, const int blue, const int alpha) { int x, y; int new_pxl, pxl; FuncPtr f; if (src == NULL) { return 0; } f = GET_PIXEL_FUNCTION(src); for (y=0; y<src->sy; ++y) { for (x=0; x<src->sx; ++x) { int r,g,b,a; pxl = f(src, x, y); r = gdImageRed(src, pxl); g = gdImageGreen(src, pxl); b = gdImageBlue(src, pxl); a = gdImageAlpha(src, pxl); r = r + red; g = g + green; b = b + blue; a = a + alpha; r = (r > 255)? 255 : ((r < 0)? 0 : r); g = (g > 255)? 255 : ((g < 0)? 0 : g); b = (b > 255)? 255 : ((b < 0)? 0 : b); a = (a > 127)? 127 : ((a < 0)? 0 : a); new_pxl = gdImageColorAllocateAlpha(src, r, g, b, a); if (new_pxl == -1) { new_pxl = gdImageColorClosestAlpha(src, r, g, b, a); } gdImageSetPixel (src, x, y, new_pxl); } } return 1; } /* Function: gdImageConvolution */ BGD_DECLARE(int) gdImageConvolution(gdImagePtr src, float filter[3][3], float filter_div, float offset) { int x, y, i, j, new_a; float new_r, new_g, new_b; int new_pxl, pxl=0; gdImagePtr srcback; FuncPtr f; if (src==NULL) { return 0; } /* We need the orinal image with each safe neoghb. pixel */ srcback = gdImageCreateTrueColor (src->sx, src->sy); if (srcback==NULL) { return 0; } gdImageSaveAlpha(srcback, 1); new_pxl = gdImageColorAllocateAlpha(srcback, 0, 0, 0, 127); gdImageFill(srcback, 0, 0, new_pxl); gdImageCopy(srcback, src,0,0,0,0,src->sx,src->sy); f = GET_PIXEL_FUNCTION(src); for ( y=0; y<src->sy; y++) { for(x=0; x<src->sx; x++) { new_r = new_g = new_b = 0; new_a = gdImageAlpha(srcback, pxl); for (j=0; j<3; j++) { int yv = MIN(MAX(y - 1 + j, 0), src->sy - 1); for (i=0; i<3; i++) { pxl = f(srcback, MIN(MAX(x - 1 + i, 0), src->sx - 1), yv); new_r += (float)gdImageRed(srcback, pxl) * filter[j][i]; new_g += (float)gdImageGreen(srcback, pxl) * filter[j][i]; new_b += (float)gdImageBlue(srcback, pxl) * filter[j][i]; } } new_r = (new_r/filter_div)+offset; new_g = (new_g/filter_div)+offset; new_b = (new_b/filter_div)+offset; new_r = (new_r > 255.0f)? 255.0f : ((new_r < 0.0f)? 0.0f:new_r); new_g = (new_g > 255.0f)? 255.0f : ((new_g < 0.0f)? 0.0f:new_g); new_b = (new_b > 255.0f)? 255.0f : ((new_b < 0.0f)? 0.0f:new_b); new_pxl = gdImageColorAllocateAlpha(src, (int)new_r, (int)new_g, (int)new_b, new_a); if (new_pxl == -1) { new_pxl = gdImageColorClosestAlpha(src, (int)new_r, (int)new_g, (int)new_b, new_a); } gdImageSetPixel (src, x, y, new_pxl); } } gdImageDestroy(srcback); return 1; } /* Function: gdImageSelectiveBlur */ BGD_DECLARE(int) gdImageSelectiveBlur( gdImagePtr src) { int x, y, i, j; float new_r, new_g, new_b; int new_pxl, cpxl, pxl, new_a=0; float flt_r [3][3]; float flt_g [3][3]; float flt_b [3][3]; float flt_r_sum, flt_g_sum, flt_b_sum; gdImagePtr srcback; FuncPtr f; if (src==NULL) { return 0; } /* We need the orinal image with each safe neoghb. pixel */ srcback = gdImageCreateTrueColor (src->sx, src->sy); if (srcback==NULL) { return 0; } gdImageCopy(srcback, src,0,0,0,0,src->sx,src->sy); f = GET_PIXEL_FUNCTION(src); for(y = 0; y<src->sy; y++) { for (x=0; x<src->sx; x++) { flt_r_sum = flt_g_sum = flt_b_sum = 0.0; cpxl = f(src, x, y); for (j=0; j<3; j++) { for (i=0; i<3; i++) { if ((j == 1) && (i == 1)) { flt_r[1][1] = flt_g[1][1] = flt_b[1][1] = 0.5; } else { pxl = f(src, x-(3>>1)+i, y-(3>>1)+j); new_a = gdImageAlpha(srcback, pxl); new_r = ((float)gdImageRed(srcback, cpxl)) - ((float)gdImageRed (srcback, pxl)); if (new_r < 0.0f) { new_r = -new_r; } if (new_r != 0) { flt_r[j][i] = 1.0f/new_r; } else { flt_r[j][i] = 1.0f; } new_g = ((float)gdImageGreen(srcback, cpxl)) - ((float)gdImageGreen(srcback, pxl)); if (new_g < 0.0f) { new_g = -new_g; } if (new_g != 0) { flt_g[j][i] = 1.0f/new_g; } else { flt_g[j][i] = 1.0f; } new_b = ((float)gdImageBlue(srcback, cpxl)) - ((float)gdImageBlue(srcback, pxl)); if (new_b < 0.0f) { new_b = -new_b; } if (new_b != 0) { flt_b[j][i] = 1.0f/new_b; } else { flt_b[j][i] = 1.0f; } } flt_r_sum += flt_r[j][i]; flt_g_sum += flt_g[j][i]; flt_b_sum += flt_b [j][i]; } } for (j=0; j<3; j++) { for (i=0; i<3; i++) { if (flt_r_sum != 0.0) { flt_r[j][i] /= flt_r_sum; } if (flt_g_sum != 0.0) { flt_g[j][i] /= flt_g_sum; } if (flt_b_sum != 0.0) { flt_b [j][i] /= flt_b_sum; } } } new_r = new_g = new_b = 0.0; for (j=0; j<3; j++) { for (i=0; i<3; i++) { pxl = f(src, x-(3>>1)+i, y-(3>>1)+j); new_r += (float)gdImageRed(srcback, pxl) * flt_r[j][i]; new_g += (float)gdImageGreen(srcback, pxl) * flt_g[j][i]; new_b += (float)gdImageBlue(srcback, pxl) * flt_b[j][i]; } } new_r = (new_r > 255.0f)? 255.0f : ((new_r < 0.0f)? 0.0f:new_r); new_g = (new_g > 255.0f)? 255.0f : ((new_g < 0.0f)? 0.0f:new_g); new_b = (new_b > 255.0f)? 255.0f : ((new_b < 0.0f)? 0.0f:new_b); new_pxl = gdImageColorAllocateAlpha(src, (int)new_r, (int)new_g, (int)new_b, new_a); if (new_pxl == -1) { new_pxl = gdImageColorClosestAlpha(src, (int)new_r, (int)new_g, (int)new_b, new_a); } gdImageSetPixel (src, x, y, new_pxl); } } gdImageDestroy(srcback); return 1; } /* Function: gdImageEdgeDetectQuick */ BGD_DECLARE(int) gdImageEdgeDetectQuick(gdImagePtr src) { float filter[3][3] = {{-1.0,0.0,-1.0}, {0.0,4.0,0.0}, {-1.0,0.0,-1.0}}; return gdImageConvolution(src, filter, 1, 127); } /* Function: gdImageGaussianBlur <gdImageGaussianBlur> performs a Gaussian blur of radius 1 on the image. The image is modified in place. *NOTE:* You will almost certain want to use <gdImageCopyGaussianBlurred> instead, as it allows you to change your kernel size and sigma value. Future versions of this function may fall back to calling it instead of <gdImageConvolution>, causing subtle changes so be warned. Parameters: im - The image to blur Returns: GD_TRUE (1) on success, GD_FALSE (0) on failure. */ BGD_DECLARE(int) gdImageGaussianBlur(gdImagePtr im) { float filter[3][3] = { {1.0, 2.0, 1.0}, {2.0, 4.0, 2.0}, {1.0, 2.0, 1.0} }; return gdImageConvolution(im, filter, 16, 0); } /* Function: gdImageEmboss */ BGD_DECLARE(int) gdImageEmboss(gdImagePtr im) { /* float filter[3][3] = {{1.0,1.0,1.0}, {0.0,0.0,0.0}, {-1.0,-1.0,-1.0}}; */ float filter[3][3] = {{ 1.5, 0.0, 0.0}, { 0.0, 0.0, 0.0}, { 0.0, 0.0,-1.5}}; return gdImageConvolution(im, filter, 1, 127); } /* Function: gdImageMeanRemoval */ BGD_DECLARE(int) gdImageMeanRemoval(gdImagePtr im) { float filter[3][3] = {{-1.0,-1.0,-1.0}, {-1.0,9.0,-1.0}, {-1.0,-1.0,-1.0}}; return gdImageConvolution(im, filter, 1, 0); } /* Function: gdImageSmooth */ BGD_DECLARE(int) gdImageSmooth(gdImagePtr im, float weight) { float filter[3][3] = {{1.0,1.0,1.0}, {1.0,0.0,1.0}, {1.0,1.0,1.0}}; filter[1][1] = weight; return gdImageConvolution(im, filter, weight+8, 0); } /* ======================== Gaussian Blur Code ======================== */ /* Return an array of coefficients for 'radius' and 'sigma' (sigma >= * 0 means compute it). Result length is 2*radius+1. */ static double * gaussian_coeffs(int radius, double sigmaArg) { const double sigma = (sigmaArg <= 0.0) ? (2.0/3.0)*radius : sigmaArg; const double s = 2.0 * sigma * sigma; double *result; double sum = 0; int x, n, count; count = 2*radius + 1; result = gdMalloc(sizeof(double) * count); if (!result) { return NULL; }/* if */ for (x = -radius; x <= radius; x++) { double coeff = exp(-(x*x)/s); sum += coeff; result[x + radius] = coeff; }/* for */ for (n = 0; n < count; n++) { result[n] /= sum; }/* for */ return result; }/* gaussian_coeffs*/ static inline int reflect(int max, int x) { assert(x > -max && x < 2*max); if(x < 0) return -x; if(x >= max) return max - (x - max) - 1; return x; }/* reflect*/ static inline void applyCoeffsLine(gdImagePtr src, gdImagePtr dst, int line, int linelen, double *coeffs, int radius, gdAxis axis) { int ndx; for (ndx = 0; ndx < linelen; ndx++) { double r = 0, g = 0, b = 0, a = 0; int cndx; int *dest = (axis == HORIZONTAL) ? &dst->tpixels[line][ndx] : &dst->tpixels[ndx][line]; for (cndx = -radius; cndx <= radius; cndx++) { const double coeff = coeffs[cndx + radius]; const int rndx = reflect(linelen, ndx + cndx); const int srcpx = (axis == HORIZONTAL) ? src->tpixels[line][rndx] : src->tpixels[rndx][line]; r += coeff * (double)gdTrueColorGetRed(srcpx); g += coeff * (double)gdTrueColorGetGreen(srcpx); b += coeff * (double)gdTrueColorGetBlue(srcpx); a += coeff * (double)gdTrueColorGetAlpha(srcpx); }/* for */ *dest = gdTrueColorAlpha(uchar_clamp(r, 0xFF), uchar_clamp(g, 0xFF), uchar_clamp(b, 0xFF), uchar_clamp(a, 0x7F)); }/* for */ }/* applyCoeffsLine*/ static void applyCoeffs(gdImagePtr src, gdImagePtr dst, double *coeffs, int radius, gdAxis axis) { int line, numlines, linelen; if (axis == HORIZONTAL) { numlines = src->sy; linelen = src->sx; } else { numlines = src->sx; linelen = src->sy; }/* if .. else*/ for (line = 0; line < numlines; line++) { applyCoeffsLine(src, dst, line, linelen, coeffs, radius, axis); }/* for */ }/* applyCoeffs*/ /* Function: gdImageCopyGaussianBlurred Return a copy of the source image _src_ blurred according to the parameters using the Gaussian Blur algorithm. _radius_ is a radius, not a diameter so a radius of 2 (for example) will blur across a region 5 pixels across (2 to the center, 1 for the center itself and another 2 to the other edge). _sigma_ represents the "fatness" of the curve (lower == fatter). If _sigma_ is less than or equal to 0, <gdImageCopyGaussianBlurred> ignores it and instead computes an "optimal" value. Be warned that future versions of this function may compute sigma differently. The resulting image is always truecolor. More Details: A Gaussian Blur is generated by replacing each pixel's color values with the average of the surrounding pixels' colors. This region is a circle whose radius is given by argument _radius_. Thus, a larger radius will yield a blurrier image. This average is not a simple mean of the values. Instead, values are weighted using the Gaussian function (roughly a bell curve centered around the destination pixel) giving it much more influence on the result than its neighbours. Thus, a fatter curve will give the center pixel more weight and make the image less blurry; lower _sigma_ values will yield flatter curves. Currently, <gdImageCopyGaussianBlurred> computes the default sigma as (2/3)*radius Note, however that we reserve the right to change this if we find a better ratio. If you absolutely need the current sigma value, you should set it yourself. Parameters: src - the source image radius - the blur radius (*not* diameter--range is 2*radius + 1) sigma - the sigma value or a value <= 0.0 to use the computed default Returns: The new image or NULL if an error occurred. The result is always truecolor. Example: > FILE *in; > gdImagePtr result, src; > > in = fopen("foo.png", "rb"); > src = gdImageCreateFromPng(in); > > result = gdImageCopyGaussianBlurred(im, src->sx / 10, -1.0); */ /* TODO: Look into turning this into a generic seperable filter * function with Gaussian Blur being one special case. (At the * moment, I can't find any other useful separable filter so for not, * it's just blur.) */ BGD_DECLARE(gdImagePtr) gdImageCopyGaussianBlurred(gdImagePtr src, int radius, double sigma) { gdImagePtr tmp = NULL, result = NULL; double *coeffs; int freeSrc = 0; if (radius < 1) { return NULL; }/* if */ /* Compute the coefficients. */ coeffs = gaussian_coeffs(radius, sigma); if (!coeffs) { return NULL; }/* if */ /* If the image is not truecolor, we first make a truecolor * scratch copy. */ if (!src->trueColor) { int tcstat; src = gdImageClone(src); if (!src) { gdFree(coeffs); return NULL; } tcstat = gdImagePaletteToTrueColor(src); if (!tcstat) { gdImageDestroy(src); gdFree(coeffs); return NULL; }/* if */ freeSrc = 1; }/* if */ /* Apply the filter horizontally. */ tmp = gdImageCreateTrueColor(src->sx, src->sy); if (!tmp) { gdFree(coeffs); return NULL; } applyCoeffs(src, tmp, coeffs, radius, HORIZONTAL); /* Apply the filter vertically. */ result = gdImageCreateTrueColor(src->sx, src->sy); if (result) { applyCoeffs(tmp, result, coeffs, radius, VERTICAL); }/* if */ gdImageDestroy(tmp); gdFree(coeffs); if (freeSrc) gdImageDestroy(src); return result; }/* gdImageCopyGaussianBlurred*/
Close