imagecopyresized
(PHP 4, PHP 5)
imagecopyresized — Copy and resize part of an image
Description
imagecopyresized() copies a rectangular portion of one image to another image. dst_image is the destination image, src_image is the source image identifier. If the source and destination coordinates and width and heights differ, appropriate stretching or shrinking of the image fragment will be performed. The coordinates refer to the upper left corner. This function can be used to copy regions within the same image (if dst_image is the same as src_image ) but if the regions overlap the results will be unpredictable.
Parameters
- dst_im
-
Destination image link resource
- src_im
-
Source image link resource
- dst_x
-
x-coordinate of destination point
- dst_y
-
y-coordinate of destination point
- src_x
-
x-coordinate of source point
- src_y
-
y-coordinate of source point
- dst_w
-
Destination width
- dst_h
-
Destination height
- src_w
-
Source width
- src_h
-
Source height
Return Values
Returns TRUE on success or FALSE on failure.
Examples
Example#1 Resizing an image
This example will display the image at half size.
<?php
// File and new size
$filename = 'test.jpg';
$percent = 0.5;
// Content type
header('Content-type: image/jpeg');
// Get new sizes
list($width, $height) = getimagesize($filename);
$newwidth = $width * $percent;
$newheight = $height * $percent;
// Load
$thumb = imagecreatetruecolor($newwidth, $newheight);
$source = imagecreatefromjpeg($filename);
// Resize
imagecopyresized($thumb, $source, 0, 0, 0, 0, $newwidth, $newheight, $width, $height);
// Output
imagejpeg($thumb);
?>
The above example will output something similar to:
The image will be output at half size, though better quality could be obtained using imagecopyresampled().
Notes
Note: There is a problem due to palette image limitations (255+1 colors). Resampling or filtering an image commonly needs more colors than 255, a kind of approximation is used to calculate the new resampled pixel and its color. With a palette image we try to allocate a new color, if that failed, we choose the closest (in theory) computed color. This is not always the closest visual color. That may produce a weird result, like blank (or visually blank) images. To skip this problem, please use a truecolor image as a destination image, such as one created by imagecreatetruecolor().