Code Coverage |
||||||||||
Lines |
Functions and Methods |
Classes and Traits |
||||||||
| Total | |
0.00% |
0 / 41 |
|
0.00% |
0 / 1 |
CRAP | |
0.00% |
0 / 1 |
| Kernel | |
0.00% |
0 / 41 |
|
0.00% |
0 / 1 |
182 | |
0.00% |
0 / 1 |
| convolve | |
0.00% |
0 / 41 |
|
0.00% |
0 / 1 |
182 | |||
| 1 | <?php |
| 2 | /** |
| 3 | * Jingga |
| 4 | * |
| 5 | * PHP Version 8.1 |
| 6 | * |
| 7 | * @package phpOMS\Image |
| 8 | * @copyright Dennis Eichhorn |
| 9 | * @license OMS License 2.0 |
| 10 | * @version 1.0.0 |
| 11 | * @link https://jingga.app |
| 12 | */ |
| 13 | declare(strict_types=1); |
| 14 | |
| 15 | namespace phpOMS\Image; |
| 16 | |
| 17 | use phpOMS\Utils\NumericUtils; |
| 18 | |
| 19 | /** |
| 20 | * Kernel - image sharpening/blurring |
| 21 | * |
| 22 | * @package phpOMS\Image |
| 23 | * @license OMS License 2.0 |
| 24 | * @link https://jingga.app |
| 25 | * @since 1.0.0 |
| 26 | */ |
| 27 | final class Kernel |
| 28 | { |
| 29 | public const KERNEL_RIDGE_1 = [ |
| 30 | [0, -1, 0], |
| 31 | [-1, 4, -1], |
| 32 | [0, -1, 0], |
| 33 | ]; |
| 34 | |
| 35 | public const KERNEL_RIDGE_2 = [ |
| 36 | [-1, -1, -1], |
| 37 | [-1, 8, -1], |
| 38 | [-1, -1, -1], |
| 39 | ]; |
| 40 | |
| 41 | public const KERNEL_SHARPEN = [ |
| 42 | [0, -1, 0], |
| 43 | [-1, 5, -1], |
| 44 | [0, -1, 0], |
| 45 | ]; |
| 46 | |
| 47 | public const KERNEL_BOX_BLUR = [ |
| 48 | [1 / 9, 1 / 9, 1 / 9], |
| 49 | [1 / 9, 1 / 9, 1 / 9], |
| 50 | [1 / 9, 1 / 9, 1 / 9], |
| 51 | ]; |
| 52 | |
| 53 | public const KERNEL_GAUSSUAN_BLUR_3 = [ |
| 54 | [1 / 16, 2 / 16, 1 / 16], |
| 55 | [2 / 16, 4 / 16, 2 / 16], |
| 56 | [1 / 16, 2 / 16, 1 / 16], |
| 57 | ]; |
| 58 | |
| 59 | public const KERNEL_EMBOSS = [ |
| 60 | [-2, -1, 0], |
| 61 | [-1, 1, 1], |
| 62 | [0, 1, 2], |
| 63 | ]; |
| 64 | |
| 65 | public const KERNEL_UNSHARP_MASKING = [ |
| 66 | [-1 / 256, -4 / 256, -6 / 256, -4 / 256, -1 / 256], |
| 67 | [-4 / 256, -16 / 256, -24 / 256, -16 / 256, -4 / 256], |
| 68 | [-6 / 256, -24 / 256, 476 / 256, -24 / 256, -6 / 256], |
| 69 | [-4 / 256, -16 / 256, -24 / 256, -16 / 256, -4 / 256], |
| 70 | [-1 / 256, -4 / 256, -6 / 256, -4 / 256, -1 / 256], |
| 71 | ]; |
| 72 | |
| 73 | /** |
| 74 | * @see https://en.wikipedia.org/wiki/Kernel_(image_processing) |
| 75 | * @see https://towardsdatascience.com/image-processing-with-python-blurring-and-sharpening-for-beginners-3bcebec0583a |
| 76 | * @see https://web.eecs.umich.edu/~jjcorso/t/598F14/files/lecture_0924_filtering.pdf |
| 77 | */ |
| 78 | public static function convolve(string $inPath, string $outPath, array $kernel) : void |
| 79 | { |
| 80 | $im = null; |
| 81 | if (\strripos($inPath, 'png') !== false) { |
| 82 | $im = \imagecreatefrompng($inPath); |
| 83 | } elseif (\strripos($inPath, 'jpg') !== false || \strripos($inPath, 'jpeg') !== false) { |
| 84 | $im = \imagecreatefromjpeg($inPath); |
| 85 | } else { |
| 86 | $im = \imagecreatefromgif($inPath); |
| 87 | } |
| 88 | |
| 89 | if ($im === false) { |
| 90 | return; |
| 91 | } |
| 92 | |
| 93 | if (\count($kernel) === 3) { |
| 94 | \imageconvolution($im, $kernel, 1, 0); |
| 95 | } else { |
| 96 | $dim = [\imagesx($im), \imagesy($im)]; |
| 97 | $kDim = [\count($kernel[1]), \count($kernel)]; |
| 98 | |
| 99 | $kWidthRadius = NumericUtils::uRightShift($kDim[0], 1); |
| 100 | $kHeightRadius = NumericUtils::uRightShift($kDim[1], 1); |
| 101 | |
| 102 | for ($y = 0; $y < $dim[1]; ++$y) { |
| 103 | for ($x = 0; $x < $dim[0]; ++$x) { |
| 104 | $newR = 0; |
| 105 | $newG = 0; |
| 106 | $newB = 0; |
| 107 | |
| 108 | for ($ky = 0; $ky < $kDim[0]; ++$ky) { |
| 109 | for ($kx = 0; $kx < $kDim[1]; ++$kx) { |
| 110 | $pixel = \imagecolorat($im, |
| 111 | \min(\max($x + $kx - $kWidthRadius, 0), $dim[0] - 1), |
| 112 | \min(\max($y + $ky - $kHeightRadius, 0), $dim[1] - 1) |
| 113 | ); |
| 114 | |
| 115 | // old |
| 116 | $r = ($pixel >> 16) & 0xFF; |
| 117 | $g = ($pixel >> 8) & 0xFF; |
| 118 | $b = $pixel & 0xFF; |
| 119 | |
| 120 | // new |
| 121 | $newR += $r * $kernel[$ky][$kx]; |
| 122 | $newG += $g * $kernel[$ky][$kx]; |
| 123 | $newB += $b * $kernel[$ky][$kx]; |
| 124 | } |
| 125 | } |
| 126 | |
| 127 | $newR = (int) \max(0, \min(255, $newR)); |
| 128 | $newG = (int) \max(0, \min(255, $newG)); |
| 129 | $newB = (int) \max(0, \min(255, $newB)); |
| 130 | |
| 131 | \imagesetpixel($im, $x, $y, (int) (($newR << 16) | ($newG << 8) | $newB)); |
| 132 | } |
| 133 | } |
| 134 | } |
| 135 | |
| 136 | if (\strripos($outPath, 'png') !== false) { |
| 137 | \imagepng($im, $outPath); |
| 138 | } elseif (\strripos($outPath, 'jpg') !== false || \strripos($outPath, 'jpeg') !== false) { |
| 139 | \imagejpeg($im, $outPath); |
| 140 | } else { |
| 141 | \imagegif($im, $outPath); |
| 142 | } |
| 143 | |
| 144 | \imagedestroy($im); |
| 145 | } |
| 146 | } |