imageconvolution

(PHP 5 >= 5.1.0, PHP 7, PHP 8)

imageconvolution — Applique une matrice de la convolution 3x3, en utilisant le coefficient et l'excentrage

Description

imageconvolution(
    GdImage $image,
    array $matrix,
    float $divisor,
    float $offset
): bool

imageconvolution() applique une matrice de la convolution 3x3, en utilisant le coefficient div et l'excentrage offset.

Liste de paramètres

image: Un objet GdImage, retournée par une des fonctions de création d'images, comme imagecreatetruecolor().
matrix: Une matrice 3x3 : un tableau contenant trois tableaux de trois nombres à virgules flottantes.
divisor: Le diviseur du résultat de la convolution, utilisé pour la normalisation.
offset: La position de la couleur.

Valeurs de retour

Cette fonction retourne true en cas de succès ou false si une erreur survient.

Historique

Version	Description
8.0.0	`image` attend une instance de GdImage désormais; auparavant, une resource `gd` était attendue.

Exemples

Exemple #1 Impression du logo PHP.net avec imageconvolution()

<?php
$image = imagecreatefromgif('http://www.php.net/images/php.gif');

$emboss = array(array(2, 0, 0), array(0, -1, 0), array(0, 0, -1));
imageconvolution($image, $emboss, 1, 127);

header('Content-Type: image/png');
imagepng($image, null, 9);
?>

L'exemple ci-dessus va afficher :

Exemple #2 Flou gaussien avec imageconvolution()

<?php
$image = imagecreatetruecolor(180,40);

// Écrit le texte et applique un floue gaussien sur l'image
imagestring($image, 5, 10, 8, 'Texte floue goussien', 0x00ff00);
$gaussian = array(array(1.0, 2.0, 1.0), array(2.0, 4.0, 2.0), array(1.0, 2.0, 1.0));
imageconvolution($image, $gaussian, 16, 0);

// Récrit le texte pour la comparaison
imagestring($image, 5, 10, 18, 'Texte floue goussien', 0x00ff00);

header('Content-Type: image/png');
imagepng($image, null, 9);
?>

L'exemple ci-dessus va afficher :

Voir aussi

imagefilter() - Applique un filtre à une image

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User Contributed Notes 10 notes

down

magilvia ¶

13 years ago

Here's a good sharpen setting for thumbnail creation:



<?php

            $sharpenMatrix = array

            (

                array(-1.2, -1, -1.2),

                array(-1, 20, -1),

                array(-1.2, -1, -1.2)

            );



            // calculate the sharpen divisor

            $divisor = array_sum(array_map('array_sum', $sharpenMatrix));            



            $offset = 0;

            

            // apply the matrix

            imageconvolution($img, $sharpenMatrix, $divisor, $offset);

?>

down

fabien dot snauwaert at gmail dot com ¶

14 years ago

Normalization is necessary to keep the image balanced (else any filter may quickly turn the image almost completely black or white).

Here is a short, easy-to-use, class to handle normalization automatically and make for easier input of the 3x3 matrix:

The code respects the "array of three arrays" syntax for use with the imageconvolution() function and automatically calculates the necesarry divisor for normalization.

<?php

class ConvolutionFilter {
    public $matrix;
    public $div;
    
    public function computeDiv() {
        $this->div = array_sum ($this->matrix[0]) + array_sum ($this->matrix[1]) + array_sum ($this->matrix[2]);
    }

    function __construct() {
        $matrix = func_get_args();
        $this->matrix = array(    array($matrix[0], $matrix[1], $matrix[2]),
                                array($matrix[3], $matrix[4], $matrix[5]),
                                array($matrix[6], $matrix[7], $matrix[8])
                                );
        $this->computeDiv();
    }
}

?>

Example usage:

<?php

$gaussianFilter =    new ConvolutionFilter(    1.0,    2.0,    1.0,
                                             2.0,    3.0,    2.0,
                                             1.0,    2.0,    1.0        );
imageconvolution($image, $gaussianFilter->matrix, $gaussianFilter->div, 0);

?>

Some common filters:

<?php

$identityFilter =    new ConvolutionFilter(    0.0,    0.0,    0.0,
                                             0.0,    1.0,    0.0,
                                             0.0,    0.0,    0.0        );
$sharpenFilter =    new ConvolutionFilter(    0.0,    -1.0,    0.0,
                                             -1.0,    5.0,    -1.0,
                                             0.0,    -1.0,    0.0        );
$edgeFilter =        new ConvolutionFilter(    0.0,    1.0,    0.0,
                                             1.0,    -4.0,    1.0,
                                             0.0,    1.0,    0.0        );
$findEdgesFilter =    new ConvolutionFilter(    -1.0,    -1.0,    -1.0,
                                             -2.0,    8.0,    -1.0,
                                             -1.0,    -1.0,    -1.0        );

?>

Remember you can use imagefilter() for such basic needs but the above class will make it easier for you when you want to create your own filters.

down

Anonymous ¶

19 years ago

The example below didn't provide a 3x3 matrix. Correctly, it's a multidimensional array.

<?php
    $matrix = array(    array( -1, -1, -1 ),
                        array( -1, 16, -1 ),
                        array( -1, -1, -1 ) );
?>

down

mlconnor at yahoo dot com ¶

18 years ago

I've seen many people come up with ways to do a drop shadow behind a rectangle such as a picture.  I haven't found one yet that was fast, PHP 4 complaint, and nice looking.  Here is one I came up with last night.  It takes an image, fills it with the background, and creates a blurred drop shadow at the specified coords using the colors and the distance offset specified.  It looks great!!!

  function blurRect(&$image, $distance, $rectX1, $rectY1, $rectX2, $rectY2, $shadowR, $shadowG, $shadowB, $backR, $backG, $backB) {

    $potentialOverlap = ($distance * 2) * ($distance * 2);

    $backgroundColor = imagecolorallocate($image, $backR, $backG, $backB);
    $shadowColor = imagecolorallocate($image, $shadowR, $shadowG, $shadowB);

    $imageWidth = imagesx($image);
    $imageHeight = imagesy($image);

    imageFilledRectangle($image, 0, 0, $imageWidth - 1, $imageHeight - 1, $backgroundColor);
    imageFilledRectangle($image, $rectX1, $rectY1, $rectX2, $rectY2, $shadowColor);

    for ( $pointX = $rectX1 - $distance; $pointX < $imageWidth; $pointX++ ) {
      for ( $pointY = $rectY1 - $distance; $pointY < $imageHeight; $pointY++ ) {

        if ( $pointX > $rectX1 + $distance &&
             $pointX < $rectX2 - $distance &&
             $pointY > $rectY1 + $distance &&
             $pointY < $rectY2 - $distance ) {
          $pointY = $rectY2 - $distance;
        }

        $boxX1 = $pointX - $distance;
        $boxY1 = $pointY - $distance;
        $boxX2 = $pointX + $distance;
        $boxY2 = $pointY + $distance;

        $xOverlap = max(0, min($boxX2, $rectX2) - max($boxX1, $rectX1));
        $yOverlap = max(0, min($boxY2, $rectY2) - max($boxY1, $rectY1));

        $totalOverlap = $xOverlap * $yOverlap;
        $shadowPcnt = $totalOverlap / $potentialOverlap;
        $backPcnt = 1.0 - $shadowPcnt;

        $newR = $shadowR * $shadowPcnt + $backR * $backPcnt;
        $newG = $shadowG * $shadowPcnt + $backG * $backPcnt;
        $newB = $shadowB * $shadowPcnt + $backB * $backPcnt;

        $newcol = imagecolorallocate($image, $newR, $newG, $newB);
        imagesetpixel($image, $pointX, $pointY, $newcol);
      }
    }
  }

down

timeshifting at gmail dot com ¶

19 years ago

Matrices can be used for sharpening, blurring, edge detection, etc, ala Photoshop.

A sharpening example:

<?php

$sharpenMatrix = array(-1,-1,-1,-1,16,-1,-1,-1,-1);
$divisor = 8;
$offset = 0;

imageconvolution($myImage, $sharpenMatrix, $divisor, $offset);

?>

Below is some information on building different kinds of matrices. (If you have photoshop (or PSP, GIMP) you can test out your matrices before applying them in PHP)

http://loriweb.pair.com/8udf-basics.html (covers blurs)
http://loriweb.pair.com/8udf-sharpen.html
http://loriweb.pair.com/8udf-edges.html
http://loriweb.pair.com/8udf-emboss.html

down

mgcclx at gmail dot com ¶

17 years ago

imageconvolution() does not appear in PHP with non-bundled GD libraries. It is a rare situation, but it still happens. That's why I wrote a replication of imageconvolution() in PHP. Compare to the post below, this one makes the use of offset and 30% faster.
Because it's written in PHP, it is 50 times slower than the bundled version.
Actually, this is a replication of gdimageconvolutaion() of GD library, it does not support data validating feature imageconvolution() have. But I guess people who uses this function knows their stuff.

THE SCRIPT:
<?php
//include this file whenever you have to use imageconvolution...
//you can use in your project, but keep the comment below :)
//great for any image manipulation library
//Made by Chao Xu(Mgccl) 2/28/07
//www.webdevlogs.com
//V 1.0
if(!function_exists('imageconvolution')){
function imageconvolution($src, $filter, $filter_div, $offset){
    if ($src==NULL) {
        return 0;
    }
    
    $sx = imagesx($src);
    $sy = imagesy($src);
    $srcback = ImageCreateTrueColor ($sx, $sy);
    ImageCopy($srcback, $src,0,0,0,0,$sx,$sy);
    
    if($srcback==NULL){
        return 0;
    }
        
    for ($y=0; $y<$sy; ++$y){
        for($x=0; $x<$sx; ++$x){
            $new_r = $new_g = $new_b = 0;
            $alpha = imagecolorat($srcback, $pxl[0], $pxl[1]);
            $new_a = $alpha >> 24;
            
            for ($j=0; $j<3; ++$j) {
                $yv = min(max($y - 1 + $j, 0), $sy - 1);
                for ($i=0; $i<3; ++$i) {
                        $pxl = array(min(max($x - 1 + $i, 0), $sx - 1), $yv);
                    $rgb = imagecolorat($srcback, $pxl[0], $pxl[1]);
                    $new_r += (($rgb >> 16) & 0xFF) * $filter[$j][$i];
                    $new_g += (($rgb >> 8) & 0xFF) * $filter[$j][$i];
                    $new_b += ($rgb & 0xFF) * $filter[$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)? 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);

            $new_pxl = ImageColorAllocateAlpha($src, (int)$new_r, (int)$new_g, (int)$new_b, $new_a);
            if ($new_pxl == -1) {
                $new_pxl = ImageColorClosestAlpha($src, (int)$new_r, (int)$new_g, (int)$new_b, $new_a);
            }
            if (($y >= 0) && ($y < $sy)) {
                imagesetpixel($src, $x, $y, $new_pxl);
            }
        }
    }
    imagedestroy($srcback);
    return 1;
}
}
?>

down

-1

phunction.sf.net ¶

14 years ago

You don't need any custom function to calculate the $divisor of the $matrix, using array_map() and array_sum() does the trick:

<?php

$matrix = array
(
    array(-1, -1, -1),
    array(-1, 16, -1),
    array(-1, -1, -1),
);

$divisor = array_sum(array_map('array_sum', $matrix)); // 8

?>

down

-1

Jase ¶

17 years ago

The comment below is an extremely good workaround

however, php did throw lots of warnings at me when i had error reporting set to E_ALL

this can be avoided with one line of code and no impact (as i can see) to the rest of the function

<?php
//include this file whenever you have to use imageconvolution...
//you can use in your project, but keep the comment below :)
//great for any image manipulation library
//Made by Chao Xu(Mgccl) 2/28/07
//www.webdevlogs.com
//V 1.0
if(!function_exists('imageconvolution')){
function imageconvolution($src, $filter, $filter_div, $offset){
    if ($src==NULL) {
        return 0;
    }
    
    $sx = imagesx($src);
    $sy = imagesy($src);
    $srcback = ImageCreateTrueColor ($sx, $sy);
    ImageCopy($srcback, $src,0,0,0,0,$sx,$sy);
    
    if($srcback==NULL){
        return 0;
    }
        
    #FIX HERE
    #$pxl array was the problem so simply set it with very low values
    $pxl = array(1,1);
    #this little fix worked for me as the undefined array threw out errors

    for ($y=0; $y<$sy; ++$y){
        for($x=0; $x<$sx; ++$x){
            $new_r = $new_g = $new_b = 0;
            $alpha = imagecolorat($srcback, $pxl[0], $pxl[1]);
            $new_a = $alpha >> 24;
            
            for ($j=0; $j<3; ++$j) {
                $yv = min(max($y - 1 + $j, 0), $sy - 1);
                for ($i=0; $i<3; ++$i) {
                        $pxl = array(min(max($x - 1 + $i, 0), $sx - 1), $yv);
                    $rgb = imagecolorat($srcback, $pxl[0], $pxl[1]);
                    $new_r += (($rgb >> 16) & 0xFF) * $filter[$j][$i];
                    $new_g += (($rgb >> 8) & 0xFF) * $filter[$j][$i];
                    $new_b += ($rgb & 0xFF) * $filter[$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)? 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);

            $new_pxl = ImageColorAllocateAlpha($src, (int)$new_r, (int)$new_g, (int)$new_b, $new_a);
            if ($new_pxl == -1) {
                $new_pxl = ImageColorClosestAlpha($src, (int)$new_r, (int)$new_g, (int)$new_b, $new_a);
            }
            if (($y >= 0) && ($y < $sy)) {
                imagesetpixel($src, $x, $y, $new_pxl);
            }
        }
    }
    imagedestroy($srcback);
    return 1;
}
}
?>

down

-1

interghost at crovortex dot com ¶

18 years ago

an implementation of this function for PHP versions <5.1
<?php
if(!function_exists("imageconvolution"))
{
 function imageconvolution(&$img,$mat,$div,$off)
 {
   if(!imageistruecolor($img) || !is_array($mat) || count($mat)!=3 || count($mat[0])!=3 || count($mat[1])!=3 || count($mat[2])!=3) return FALSE;
   unset($bojainfo);
   for($nx=0;$nx<imagesx($img)-1;$nx++)
   {
     for($ny=0;$ny<imagesy($img)-1;$ny++)
     {
        $rgb=imagecolorat($img,$nx,$ny);
        $bojainfo[$nx][$ny][r]=($rgb>>16)&0xFF;
        $bojainfo[$nx][$ny][g]=($rgb>>8)&0xFF;
        $bojainfo[$nx][$ny][b]=$rgb&0xFF;
     }
   }
   for($nx=1;$nx<imagesx($img)-1;$nx++)
   {
     for($ny=1;$ny<imagesy($img)-1;$ny++)
     {
        $nr=$mat[0][0]*$bojainfo[$nx-1][$ny-1][r] + $mat[0][1]*$bojainfo[$nx][$ny-1][r] + $mat[0][2]*$bojainfo[$nx+1][$ny-1][r] + $mat[1][0]*$bojainfo[$nx-1][$ny][r] + $mat[1][1]*$bojainfo[$nx][$ny][r] + $mat[1][2]*$bojainfo[$nx+1][$ny][r] + $mat[2][0]*$bojainfo[$nx-1][$ny+1][r] + $mat[2][1]*$bojainfo[$nx][$ny+1][r] + $mat[2][2]*$bojainfo[$nx+1][$ny+1][r];
        $nr=intval(round($nr/$div));
        if($nr<0) $nr=0;
        elseif($nr>255) $nr=255;
        $ng=$mat[0][0]*$bojainfo[$nx-1][$ny-1][g]  + $mat[0][1]*$bojainfo[$nx][$ny-1][g] + $mat[0][2]*$bojainfo[$nx+1][$ny-1][g] + $mat[1][0]*$bojainfo[$nx-1][$ny][g] + $mat[1][1]*$bojainfo[$nx][$ny][g] + $mat[1][2]*$bojainfo[$nx+1][$ny][g] + $mat[2][0]*$bojainfo[$nx-1][$ny+1][g] + $mat[2][1]*$bojainfo[$nx][$ny+1][g] + $mat[2][2]*$bojainfo[$nx+1][$ny+1][g];
        $ng=intval(round($ng/$div));
        if($ng<0) $ng=0;
        elseif($ng>255) $ng=255;
        $nb=$mat[0][0]*$bojainfo[$nx-1][$ny-1][b] + $mat[0][1]*$bojainfo[$nx][$ny-1][b] + $mat[0][2]*$bojainfo[$nx+1][$ny-1][b] + $mat[1][0]*$bojainfo[$nx-1][$ny][b] + $mat[1][1]*$bojainfo[$nx][$ny][b] + $mat[1][2]*$bojainfo[$nx+1][$ny][b] + $mat[2][0]*$bojainfo[$nx-1][$ny+1][b] + $mat[2][1]*$bojainfo[$nx][$ny+1][b] + $mat[2][2]*$bojainfo[$nx+1][$ny+1][b];
        $nb=intval(round($nb/$div));
        if($nb<0) $nb=0;
        elseif($nb>255) $nb=255;
        $nrgb=($nr<<16)+($ng<<8)+$nb;
        if(!imagesetpixel($img,$nx,$ny,$nrgb)) return FALSE;
     }
   }
   return TRUE;
  }
}
?>

it's a bit slowish so I wouldn't recommend big images, also offset is not implemented (don't know what it's suppose to do)

down

-2

dyer85 at gmail dot com ¶

18 years ago

Took me a while, but thanks to a couple of the user notes on the array_values PHP documentation page, I was able to come up with a way to dynamically compute the divisor.

I'm using PHP 5.1.0b2 on Win32 with the bundled GD library. When I try and use the imageconvolution function, whether normally, or via the functions below, the resulting image (I've only tried JPEGs and GIFs), always comes out far too bright, even when the divisor makes matrix sum equal to 1. The only thing that would reduce the brightness was to make the offset argument ridiculously large. So, I'm not sure if this effects anyone else.

Here are the functions with an example:

<?php
$im = imagecreatefromjpeg('path/to/pic.jpg');
$matrix = array(   array(5,5,5),
                   array(5,15,5),
                   array(5,5,5) );
makeFilter($im, $matrix);

header ( 'Content-Type: image/jpeg' );
imagejpeg($im);
imagedestroy($im);

/**
 * functions
 */
// This flattens the 3X3 array matrix, so we can get the sum of all the values
function array_flatten($array) {
    (array)$tempArray = array();

    foreach ( $array as $value ) {
        if ( is_array($value) ) {
            $tempArray = array_merge($tempArray, array_flatten($value));
        } else {
            $tempArray[] = $value;
        }
    }

    return $tempArray;
}

// Creates the divisor value dynamically, and passes offset
function makeFilter($resource, $matrix, $offset=1.0) {
    global $$resource;
    (float)$divisor = array_sum(array_flatten($matrix));
    return imageconvolution($resource, $matrix, $divisor, $offset) ? true : false;
}
?>

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