Description

# ImagickKernel::addUnityKernel

(PECL imagick >= 3.3.0)

ImagickKernel::addUnityKernel — Description

### 説明

public ImagickKernel::addUnityKernel ( float `$scale` ) : void

Adds a given amount of the 'Unity' Convolution Kernel to the given pre-scaled and normalized Kernel. This in effect adds that amount of the original image into the resulting convolution kernel. The resulting effect is to convert the defined kernels into blended soft-blurs, unsharp kernels or into sharpening kernels.

### パラメータ

この関数にはパラメータはありません。

### 返り値

### 例

例1 ImagickKernel::addUnityKernel()

`<?php
function renderKernelTable($matrix) {
$output = "<table class='infoTable'>";
foreach ($matrix as $row) {
$output .= "<tr>";
foreach ($row as $cell) {
$output .= "<td style='text-align:left'>";
if ($cell === false) {
$output .= "false";
}
else {
$output .= round($cell, 3);
}
$output .= "</td>";
}
$output .= "</tr>";
}
$output .= "</table>";
return $output;
}
$matrix = [
[-1, 0, -1],
[ 0, 4, 0],
[-1, 0, -1],
];
$kernel = \ImagickKernel::fromMatrix($matrix);
$kernel->scale(1, \Imagick::NORMALIZE_KERNEL_VALUE);
$output = "Before adding unity kernel: <br/>";
$output .= renderKernelTable($kernel->getMatrix());
$kernel->addUnityKernel(0.5);
$output .= "After adding unity kernel: <br/>";
$output .= renderKernelTable($kernel->getMatrix());
$kernel->scale(1, \Imagick::NORMALIZE_KERNEL_VALUE);
$output .= "After renormalizing kernel: <br/>";
$output .= renderKernelTable($kernel->getMatrix());
echo $output;
?>`

例2 ImagickKernel::addUnityKernel()

`<?php
function addUnityKernel($imagePath) {
$matrix = [
[-1, 0, -1],
[ 0, 4, 0],
[-1, 0, -1],
];
$kernel = ImagickKernel::fromMatrix($matrix);
$kernel->scale(4, \Imagick::NORMALIZE_KERNEL_VALUE);
$kernel->addUnityKernel(0.5);
$imagick = new \Imagick(realpath($imagePath));
$imagick->filter($kernel);
header("Content-Type: image/jpg");
echo $imagick->getImageBlob();
}
?>`