function imagefilter in ImageAPI 5
Same name and namespace in other branches
- 6 imagefilter.inc \imagefilter()
2 string references to 'imagefilter'
- imageapi_gd_image_desaturate in ./
imageapi_gd.module - Convert an image resource to grayscale.
- imageapi_gd_requirements in ./
imageapi_gd.install
File
- ./
imagefilter.inc, line 87
Code
function imagefilter(&$im, $var, $arg1 = NULL, $arg2 = NULL, $arg3 = NULL, $arg4 = NULL) {
switch ($var) {
case IMG_FILTER_NEGATE:
_imageapi_gd_pixel_color_walk($im, '_imageapi_gd_pixel_negate');
return TRUE;
case IMG_FILTER_GRAYSCALE:
_imageapi_gd_pixel_color_walk($im, '_imageapi_gd_pixel_grayscale');
return TRUE;
case IMG_FILTER_BRIGHTNESS:
_imageapi_gd_pixel_color_walk($im, '_imageapi_gd_pixel_brightness', $arg1);
return TRUE;
case IMG_FILTER_CONTRAST:
// normalize between 0-1, square to keep positive.
$contrast = pow((100 - $arg1) / 100, 2);
_imageapi_gd_pixel_color_walk($im, '_imageapi_gd_pixel_contrast', $contrast);
return TRUE;
case IMG_FILTER_COLORIZE:
$arg1 = is_null($arg1) ? 0 : $arg1;
$arg2 = is_null($arg2) ? 0 : $arg2;
$arg3 = is_null($arg3) ? 0 : $arg3;
$arg4 = is_null($arg4) ? 0 : $arg4;
_imageapi_gd_pixel_color_walk($im, '_imageapi_gd_pixel_colorize', $arg1, $arg2, $arg3, $arg4);
return TRUE;
case IMG_FILTER_EDGEDETECT:
return imageconvolution($im, array(
array(
-1,
0,
-1,
),
array(
0,
4,
0,
),
array(
-1,
0,
-1,
),
), 1, 127);
case IMG_FILTER_EMBOSS:
return imageconvolution($im, array(
array(
1.5,
0,
0,
),
array(
0,
0,
0,
),
array(
0,
0,
-1.5,
),
), 1, 127);
case IMG_FILTER_GAUSSIAN_BLUR:
return imageconvolution($im, array(
array(
1,
2,
1,
),
array(
2,
4,
2,
),
array(
1,
2,
1,
),
), 16, 0);
case IMG_FILTER_SELECTIVE_BLUR:
for ($y = 0; $y < $max_y; ++$y) {
for ($x = 0; $x < $max_x; ++$x) {
$flt_r_sum = $flt_g_sum = $flt_b_sum = 0;
$cpxl = imagecolorat($im, $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 {
$pxl = imagecolorat($im, $x - (3 >> 1) + $i, $y - (3 >> 1) + $j);
$new_a = $pxl >> 24;
//$r = (($pxl >> 16) & 0xFF);
//$g = (($pxl >> 8) & 0xFF);
//$b = ($pxl & 0xFF);
$new_r = abs(($cpxl >> 16 & 0xff) - ($pxl >> 16 & 0xff));
if ($new_r != 0) {
$flt_r[$j][$i] = 1 / $new_r;
}
else {
$flt_r[$j][$i] = 1;
}
$new_g = abs(($cpxl >> 8 & 0xff) - ($pxl >> 8 & 0xff));
if ($new_g != 0) {
$flt_g[$j][$i] = 1 / $new_g;
}
else {
$flt_g[$j][$i] = 1;
}
$new_b = abs(($cpxl & 0xff) - ($pxl & 0xff));
if ($new_b != 0) {
$flt_b[$j][$i] = 1 / $new_b;
}
else {
$flt_b[$j][$i] = 1;
}
}
$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) {
$flt_r[$j][$i] /= $flt_r_sum;
}
if ($flt_g_sum != 0) {
$flt_g[$j][$i] /= $flt_g_sum;
}
if ($flt_b_sum != 0) {
$flt_b[$j][$i] /= $flt_b_sum;
}
$new_r = $new_g = $new_b = 0;
for ($j = 0; $j < 3; ++$j) {
for ($i = 0; $i < 3; ++$i) {
$pxl = imagecolorat($im, $x - (3 >> 1) + $i, $y - (3 >> 1) + $j);
$new_r += ($pxl >> 16 & 0xff) * $flt_r[$j][$i];
$new_g += ($pxl >> 8 & 0xff) * $flt_g[$j][$i];
$new_b += ($pxl & 0xff) * $flt_b[$j][$i];
}
}
$new_r = $new_r > 255 ? 255 : ($new_r < 0 ? 0 : $new_r);
$new_g = $new_g > 255 ? 255 : ($new_g < 0 ? 0 : $new_g);
$new_b = $new_b > 255 ? 255 : ($new_b < 0 ? 0 : $new_b);
$new_pxl = imagecolorallocatealpha($im, (int) $new_r, (int) $new_g, (int) $new_b, $new_a);
if ($new_pxl == FALSE) {
$new_pxl = imagecolorclosestalpha($im, (int) $new_r, (int) $new_g, (int) $new_b, $new_a);
}
imagesetpixel($im, $x, $y, $new_pxl);
}
}
}
}
return TRUE;
case IMG_FILTER_MEAN_REMOVAL:
return imageconvolution($im, array(
array(
-1,
-1,
-1,
),
array(
-1,
9,
-1,
),
array(
-1,
-1,
-1,
),
), 1, 0);
case IMG_FILTER_SMOOTH:
return imageconvolution($im, array(
array(
1,
1,
1,
),
array(
1,
$arg1,
1,
),
array(
1,
1,
1,
),
), $arg1 + 8, 0);
}
}